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Pattern recognition or classification using color

Subclass of:

382 - Image analysis

382162000 - COLOR IMAGE PROCESSING

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DocumentTitleDate
20110002536MULTISPECTRAL NATURAL FIBER QUALITY SENSOR FOR REAL-TIME IN-SITU MEASUREMENT - A computerized method and sensor for real-time in-situ measurement of a quality of fibers within a sample containing extraneous material is described herein. The fibers can be cotton, jute, flax, ramie, sisal, hemp, silk, wool, catgut, angora, mohair, alpaca or other natural fiber. The fibers are differentiated from the extraneous material within the sample. One or more positions of the fibers are determined. A multi-spectral reflectance of the fibers at the one or more positions at two or more near infrared wavebands is measured wherein each waveband has a central wavelength and a bandwidth. The two or more central wavelengths are within a range of approximately 1100 nm to 2400 nm, and the bandwidth is within a range of approximately 10 nm to 100 nm. A micronaire level for the fibers is determined based on the measured multi-spectral reflectance.01-06-2011
20130028512VIDEO SEARCHING METHOD - A video searching method includes: providing a database for storing the data of a video, wherein the data of the video includes the colors of at least a key frame; providing a searching interface for an user uploading a key picture; providing a recording unit for recording the colors of the key picture; providing a performing unit for comparing the colors of the key frame and the key picture to judge whether a similar color exists; the performing unit computing the value of the colors if there exists a similar color; the performing unit sifting the video by comparing a threshold value and the value of the colors; and the performing unit sorting the video by the value of the colors to obtain a result list. By comparing the value of the colors between the key picture and the key frame, the result list is simply and quickly obtained.01-31-2013
20130028511Method and device of determining a saliency map for an image - The invention proposes a method and a device of determining a saliency map for an image.01-31-2013
20120170840WEB-BASED ARCHITECTURAL COLOR SELECTION SYSTEM - A computer implemented method includes: providing a database of digital images of colors and metadata related to the colors; using one or more search criteria to identify one or more of the digital image colors; displaying the digital images of the identified colors; selecting a color of interest from the displayed colors; using the metadata to identify additional information related to the color of interest; displaying the digital image of the selected color and the additional information; and using the displayed digital image of the selected color and the additional information to make a final color selection. An apparatus that can be used to implement the method is also provided.07-05-2012
20100021056SKIN COLOR MODEL GENERATION DEVICE AND METHOD, AND SKIN COLOR DETECTION DEVICE AND METHOD - A skin color model generation device includes a sample acquiring unit for acquiring a skin color sample region from an image of interest; a feature extracting unit for extracting a plurality of features from the skin color sample region; and a model generating unit for statistically generating, based on the features, a skin color model used to determine whether or not each pixel of the image of interest has a skin color.01-28-2010
20090196497Method for analyzing and/or testing at least one user interface, data processing device and computer program product - In summary, the present invention relates to a method for analyzing and/or testing at least one user interface, comprising the steps of: 08-06-2009
20090196496METHODS FOR RECOMMENDING A PERSONAL CARE PRODUCT AND TOOLS THEREFOR - A method of product recommendation includes receiving an image taken of a tool, disposed against a target substrate and including a frame with an aperture in which the substrate is visible and a color correction scale disposed proximate to the aperture, the scale having at least a first color correction region and a second color correction region, the color of the first region being different than the color of the second region. The method also includes locating a color correction scale region of the image corresponding to the scale and a target substrate region of the image corresponding to the substrate visible in the aperture, analyzing the scale region to determine a color correction, correcting the image according to the color correction, extracting a set of substrate region values from the substrate region of the image, and generating a product recommendation according to the set of substrate region values.08-06-2009
20090196495Image processing apparatus, image processing method and image processing program - A hemorrhage edge candidate area extraction section extracts a candidate area for the outline part of a hemorrhage area, based on an image signal of a medical image constituted by multiple color signals obtained by capturing an image of a living body. A feature quantity calculation section calculates a feature quantity of the hemorrhage area based on calculation of the amount of change in the image signal in a small area including the candidate area, among multiple small areas obtained by dividing the medical image. A hemorrhage edge determination section determines whether or not the candidate areas are the outline part of the hemorrhage area based on the feature quantity.08-06-2009
20110194762METHOD FOR DETECTING HAIR REGION - A method of detecting a hair region, includes acquiring a confidence image of a head region; and detecting the hair region by processing the acquired confidence image. The hair region detection method may detect the hair region by combining skin color, hair color, frequency, and depth information, and may segment the entire hair region in a noise background using a global optimization method instead of using a local information method.08-11-2011
20110194761Intelligent Image Search Results Summarization and Browsing - Techniques for intelligent image search results summarization and browsing scheme are described. Images having visual attributes are evaluated for similarities based in part on their visual attributes. At least one preference score indicating a probability of an image to be selected into a summary is calculated for each image. Images are selected based on the similarity of the selected images to the other images and the preference scores of the selected images. A summary of the plurality of images is generated including the selected one individual image.08-11-2011
20090190831SYSTEM AND METHOD FOR LOCATING A TARGET REGION IN AN IMAGE - A system and method for locating a target region in an image is disclosed. In one embodiment a method includes automatically locating a signature field in a target region of an image captured by a barcode reader, where the target region includes rectangular boundaries defined by graphical delimiters in the image. One embodiment of the method includes, generating a binary-colored image, optionally performing de-speckling, generating a search pattern comprising multiple search locations that spatially correspond with pixels in the image, identifying a darker-shaded pixel in the multiple search pixels as a candidate pixel that is a portion of one of multiple graphical delimiters, analyzing colors of neighboring pixels of the candidate pixel to compute a weight value of the candidate pixel, and/or saving the candidate pixel as a located graphical delimiter of multiple graphical delimiters if the weight value of the candidate pixel exceeds or approximates a weight threshold.07-30-2009
20090123065VEHICLE AND LANE MARK RECOGNITION APPARATUS - A lane mark recognition apparatus includes an image capturing means (05-14-2009
20090123064Scanning images for pornography - Heuristic analysis of image is performed to detect pornographic content. Pixels of an image representing a flesh-tone are identified. A heuristic analysis of the image is performed to classify the image as being pornographic or not. The analysis uses measures of a set of predetermined characteristics of the identified pixels as a heuristic to indicate a likelihood that the identified pixels contain pornographic content or not. Particular characteristics used are: the thickness of a region of identified pixels; the area of regions of adjacent identified pixels; the flatness of regions of adjacent identified pixels; the distance of pixels from the centre of the image; the degree of texture of regions adjacent identified pixels; the likelihood of the identified pixels being flesh-tone, and the area of the identified pixels. The heuristic analysis is layered, comprising a plurality of tests, each test using the set of predetermined characteristics with differing degrees of significance attributed to each characteristic.05-14-2009
20090238450Object Monitoring Method, Object Monitoring Apparatus, and Object Monitoring Program Storage Medium - A method includes a pixel-value correction step that causes an average and variance of pixel values in a second subregion inclusive of a first subregion inclusive of being formed of only one pixel in a comparison image resolved into pixels to match with an average and variance of pixel values in a subregion corresponding to the second subregion on a reference image similarly resolved into pixels, thereby to execute calculation that corrects the pixel value of each pixel in the first subregion in the comparison image by recognizing each of subregions to be the first subregion, the subregions being obtained when the comparison image is divided into the subregions respectively inclusive of being formed of only one pixel; and a change determination step that determines the presence/absence of a change in the object by comparing the reference image with a post-correction comparison image acquired through the pixel value correction step.09-24-2009
20100158361METHOD FOR DETERMINING THE POSITION AND ORIENTATION OF A MEASURING OR REPAIR DEVICE AND A DEVICE WORKING IN ACCORDANCE WITH THE METHOD - A method for the determination of the wall thickness or of the wear and tear of the lining of a metallurgical fusion pot with a scanner system for contactless detection of the lining area with determination of the position and orientation of the scanner system and allocation to the position of the fusion pot by the detection of spatial reference points, characterized by the following procedural steps: 06-24-2010
20100158362IMAGE PROCESSING - An image processing method includes detecting statistical distribution of permutations of pixel properties amongst contiguous groups of a predetermined number of pixels in at least a portion of an image under test, so as to derive feature data in respect of the image under test, and comparing the feature data derived in respect of the image under test with feature data derived from at least respective portions of one or more other images so as to detect a similarity between the image under test and the one or more other images.06-24-2010
20130077861IMAGE SENSING DEVICE AND IMAGE DATA PROCESSING METHOD USING THE SAME - An image data processing method includes generating a data window comprising N rows and N columns using Bayer data from a pixel array, generating a red (R), green (G), blue (B) data of a center pixel in the data window, detecting an edge region in the data window, detecting a bright region in the data window, adjusting the R, G, B data using a suppressing gain factor if both of the edge region and bright region is detected, and outputting the adjusting R, G, B data as a result of an interpolating process.03-28-2013
20130077860IMAGE SIGNAL PROCESSOR AND METHOD FOR IMAGE ENHANCEMENT - An image signal processor for image enhancement is provided. The image signal processor receives a first, a second, and a third component of an RGB signal of each pixel of an image, and has: an image enhancer for performing image enhancement on the first component of the RGB signal to produce a first enhanced component of the RGB signal; a gain generator, coupled to the image enhancer, for producing an enhancement gain based on the first component and the first enhanced component of the RGB signal; and a gain multiplier, coupled to the gain generator, for performing image enhancement on the second and the third component based on the enhancement gain to produce a second and a third enhanced component.03-28-2013
20130039573DEVICE AND METHOD OF REMOVING CHROMATIC ABERRATION IN IMAGE - A device and method of removing chromatic aberration which occurs in an image generated by capturing a target subject. The chromatic aberration removing device includes a chromatic aberration region detecting unit which detects a chromatic aberration occurrence region in an input image, a coefficient calculating unit which calculates a minimizing pixel value which minimizes a difference between sizes, numbers of pixels or intensities of edges of red, green, and blue (RGB) channels of the chromatic aberration occurrence region, a chroma signal processing unit which removes chromatic aberration in the chromatic aberration occurrence region, and a purple fringing removing unit which removes purple fringing.02-14-2013
20090154801SYSTEM AND METHOD FOR AUTOMATICALLY ADJUSTING A DISPLAY PANEL - A system for adjusting position of a display panel is provided. The system captures a reference facial image and a present facial image of a user at different time frames, and calculates adjustment parameters according to the reference facial image and the present facial image. The display panel is then driven to a proper position according to the adjusting parameters.06-18-2009
20090154800IMAGE PROCESSING DEVICE, IMAGE FORMING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing device that processes input image data includes: an image dividing unit that divides the input image data into a plurality of blocks; an image type determining unit that determines the type of the input image data for every block on the basis of the number of edge elements included in the block; a frequency component conversion unit that converts color components of the input image data into frequency components for every block; and an image compression unit that compresses corresponding image data for every block by specifying unnecessary components of the converted frequency components of the image data on the basis of the determined type of the image data and suppressing or removing the specified unnecessary components.06-18-2009
20090154799IMAGE PROCESSOR AND IMAGE PROCESSING METHOD - An image processor according to the present invention is configured to generate a plurality of multiresolution images of different resolutions from an input image (S06-18-2009
20120183213ILLUMINATION SPECTRUM RECOVERY - The disclosure concerns processing of electronic images, such as hyperspectral or multispectral images. Processing of the images includes object recognition and image enhancement in a way that harnesses the information available from the image based on the wavelength indexed spectral data these types of images provide. Illumination spectrum of such an image is estimated (FIG. 07-19-2012
20100040282DECODING OF UV MARKS USING A DIGITAL IMAGE ACQUISITION DEVICE - A method and system for identifying a fluorescence mark in a printed document includes using an image acquisition device to derive an input digital image that represents a printed document including a background and a fluorescence mark adjacent the background. The input digital image includes multiple color channel digital images, with each color channel digital image comprising a plurality of pixels each defined by a gray value. For each pixel of at least one of the color channel digital images, the gray value is adjusted based upon a variance of adjacent pixel gray values to define a filtered digital image including a plurality of pixels each defined by an adjusted gray value. Some pixels of the filtered digital image correspond to low variance regions of the input digital image and other pixels of the filtered digital image correspond to high variance regions of the input digital image. A binary image is derived that represents the filtered digital image by mapping each adjusted gray value of the filtered image to either a first or second possible binary pixel value. The binary image includes a binary representation of the fluorescence mark and a binary representation of the background. At least one morphological operation is performed on the binary image to adjust the pixel values of the binary representation of the background so that all pixel values of the binary representation of the background are opposite the binary pixel value used for the binary representation of the fluorescence mark. An ASCII character for the binary representation of the fluorescence mark (or each constituent character thereof) can be derived and compared to a known security code to authenticate the printed document.02-18-2010
20130044947Methods and Apparatus for Automated Portrait Retouching Using Facial Feature Localization - Various embodiments of methods and apparatus for facial retouching are disclosed. In one embodiment, a face in an input image is detected. Independent sets of feature points are detected for respective facial feature components. A plurality of masks for each of the facial feature components is generated. Using the plurality of masks, retouch effects are performed to the facial feature components. Some embodiments provide for user interaction to constrain the mask generation.02-21-2013
20130044945METHOD AND SYSTEM FOR DETECTING TEXT IN RASTER IMAGES - Systems, methods, and applications for detection text in a raster image.02-21-2013
20130044946IMAGE PROCESSING APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND IMAGE PROCESSING METHOD - Provided is an image processing apparatus including an extraction unit that extracts a color boundary of an image, an influence value calculation unit that calculates an influence value indicating the degree of an influence of the color boundary on a pixel, a setting unit that sets a coefficient for a convolution operation in accordance with the color boundary extracted in the extraction unit and the influence value calculated in the influence value calculation unit, and an operation unit that performs a convolution operation using the coefficient set by the setting unit.02-21-2013
20130044944CLOTHING SEARCH IN IMAGES - Methods, systems, and computer readable media with executable instructions, and/or logic are provided for clothing search in images. An example method of clothing search in images can include characterizing clothing within a plurality of reference images using a processor, and characterizing clothing within a query image using a processor. A number of the plurality of reference images having clothing with similar color features as clothing of the query image is identified using a processor. A subset of the identified number of the plurality of reference images having clothing with predefined non-color attributes as clothing of the query image are selected using a processor.02-21-2013
20130084000COMPLEMENTARY ITEM RECOMMENDATIONS USING IMAGE FEATURE DATA - An apparatus and method to facilitate finding complementary recommendations are disclosed herein. One or more fashion trend or pleasing color combination rules are determined based on data obtained from one or more sources. One or more template images and rule triggers corresponding to the fashion trend or pleasing color combination rules are generated, each of the rule triggers associated with at least one of the template images. A processor compares a first image attribute of a particular one of the template images to a second image attribute of each of a plurality of inventory images corresponding to the plurality of inventory items to identify the inventory items complementary to the query image. The particular one of the template images is selected based on the rule trigger corresponding to the particular one of the template images being applicable for a query image.04-04-2013
20130083999EXTRACTION OF IMAGE FEATURE DATA FROM IMAGES - An apparatus and method for obtaining image feature data of an image are disclosed herein. A color histogram of the image is extracted from the image, the extraction of the color histogram including performing one-dimensional sampling of pixels comprising the image in each of a first dimension of a color space, a second dimension of the color space, and a third dimension of the color space. An edge map corresponding to the image is analyzed to detect a pattern included in the image. In response to a confidence level of the pattern detection being below a pre-defined threshold, extracting from the image an orientation histogram of the image. And identify a dominant color of the image.04-04-2013
20130083998METHOD AND APPARATUS OF GENERATING A MULTI-FORMAT TEMPLATE IMAGE FROM A SINGLE FORMAT TEMPLATE IMAGE - A method and apparatus are provided for generating a multi-format template image by an image-processing device. At least one pre-defined region in a template image having a first format is identified. Component information of the at least one pre-defined region is extracted by decoding the template image. Pixels associated with the at least one predefined region are converted from the first format to a second format, with reference to the component information of the at least one pre-defined region, to form the multi-format template image.04-04-2013
20130084001ITEM RECOMMENDATIONS USING IMAGE FEATURE DATA - An apparatus and method to facilitate finding recommendations for a query image are disclosed herein. A color histogram is determined corresponding to the query image. Determining at least one of a visual pattern included in the query image, a dominant color of the query image, or an orientation histogram corresponding to the query image. Performing comparison of a first image attribute of the query image to a second image attribute of an inventory image corresponding to an inventory item, wherein the first image attribute used in the comparison is selected from among the color histogram, the dominant color, and the orientation histogram. The selection of the first image attribute is based on a confidence score associated with the visual pattern, the dominant color, or a directionality present in the query image.04-04-2013
20100067788Image position recognition apparatus, image position recognition method, computer program product, and apparatus for setting correction data for an image display apparatus - In an image position recognition apparatus, an image signal acquirer acquires, from an image capture apparatus, red, blue, and green image signals obtained by capturing the picture from an image display apparatus. A position recognition unit uses the acquired red, blue, and green image signals as a basis for recognizing the position in a captured picture corresponding to a given region among respective regions obtained by plurally dividing the picture from the image display apparatus. When the position recognition unit recognizes the position in the captured picture corresponding to the given region of the picture from the image display apparatus, a correction data setting unit sets data for emphasizing the given region as the correction data corresponding to the given region of the red, blue, and green image signals in the image display apparatus.03-18-2010
20130051664IMAGE PROCESSING DEVICE - A pattern matching processing unit 02-28-2013
20090304272ANNOTATING IMAGES - Methods, systems, and apparatus, including computer program products, for generating data for annotating images automatically. In one aspect, a method includes receiving an input image, identifying one or more nearest neighbor images of the input image from among a collection of images, in which each of the one or more nearest neighbor images is associated with a respective one or more image labels, assigning a plurality of image labels to the input image, in which the plurality of image labels are selected from the image labels associated with the one or more nearest neighbor images, and storing in a data repository the input image having the assigned plurality of image labels. In another aspect, a method includes assigning a single image label to the input image, in which the single image label is selected from labels associated with multiple ranked nearest neighbor images.12-10-2009
20090304271OBJECT REGION EXTRACTING DEVICE - Region dividing means (12-10-2009
20120219215METHODS FOR PERFORMING FAST DETAIL-PRESERVING IMAGE FILTERING - A method for performing fast detail-preserving filtering of an input digital image includes, for each pixel in the image, calculating the difference between the selected pixel and each of its four neighboring pixels located above, left, right, and below the selected pixel, calculating a scaled weighted sum of differences between the actual pixel and its four neighbors, where for each neighboring pixel the weight is an edge-sensing function having a data-adaptive scaling parameter function, and adding the weighted sum of differences to the value of the selected pixel.08-30-2012
20130071019IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND RECORDING DEVICE RECORDING IMAGE PROCESSING PROGRAM - An image processing apparatus includes a histogram extension processing unit for performing a first tone conversion processing on an input image using a first tone conversion characteristic so that a variance of a histogram of an image after the first tone conversion processing is larger than that of a histogram of the input image before the first tone conversion processing; and a posterization processing unit for performing a second tone conversion processing on the image processed in the histogram extension processing unit using a second tone conversion characteristic in which a relation of an output value to an input value is defined by a step function, thereby generating a posterized image whose tone number is reduced as compared with the image before the second tone conversion processing.03-21-2013
20130071018IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - An image processing device includes a hue calculation unit configured to calculate a hue of a pixel included in a target image; an extraction unit configured to extract a first group including a pixel, a hue of which is close to a hue of the target pixel; a chromaticity calculation unit configured to calculate a chromaticity of the pixel included in the first group and that of the target pixel; a diffuse reflection factor calculation unit configured to calculate an estimated diffuse reflection factor by using the chromaticity of the pixel included in the first group and that of the target pixel; and a separation unit configured to separate a diffuse reflection component from a pixel value of the target pixel by using the diffuse reflection factor, the diffuse reflection component representing a component in the pixel value that varies as the diffuse reflection factor varies.03-21-2013
20130071020DATA PROCESSING SYSTEMS, DEVICES, AND METHODS FOR CONTENT ANALYSIS - Systems, devices and methods operative for identifying a reference within a figure and an identifier in a text associated with the figure, the reference referring to an element depicted in the figure, the reference corresponding to the identifier, the identifier identifying the element in the text, placing the identifier on the figure at a distance from the reference, the identifier visually associated with the reference upon the placing, the placing of the identifier on the figure is irrespective of the distance between the identifier and the reference.03-21-2013
20130071017DETECTING ANTI-ALIASED TEXT IN DIGITAL IMAGES - A method, including automatically identifying, by a processor, a region of a digital image containing first pixels, each situated on a positive horizontal gradient, and second pixels in proximity to the first pixels, each situated on a negative horizontal gradient. A distribution of intensities of a color channel is then calculated for the pixels in the region, and the distribution is analyzed in order to detect whether the region contains anti-aliased text.03-21-2013
20090092314Method, system and apparatus for determining and modifying saliency of a visual medium - A method, system and apparatus for determining and modifying saliency of a visual medium are provided. The method, system and apparatus may obtain saliency values for a visual medium based on a plurality of visual channels. The saliency values may be obtained based on at least one of computer-generated modeling, user-specified input and eye-tracking. The method, system and apparatus may aggregate the obtained saliency values and classify regions of the visual medium based on the aggregated saliency values. The visual channels may include one or more of absolute mean curvature, a gradient of mean curvature, a gradient of color intensity, color luminance, color opponency, color saturation, lighting and focus. When calculating mean curvature, the method, system and apparatus may calculate a change in mean curvature for a plurality of vertices around a region and displace the vertices in accordance with the calculated change in mean curvature to change a saliency of the region.04-09-2009
20130058569IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - An image processing apparatus includes a feature point extraction unit that extracts feature points which are pixels located at the corner of a region within an image and directions indicating a positional relationship of the feature points in the region, a selection unit that selects the feature point and a set of feature points corresponding to the feature point, based on a color of the feature point, a position of the feature point, and a direction in the feature point, a representative point determination unit that determines a representative point representing a region, based on the set of feature points, a vector calculation unit that calculates a vector composed of two representative points, on the basis of the representative points, and a screen line number and angle extraction unit that extracts the number of screen lines and an angle used in the image, based on a distribution of the vectors.03-07-2013
20130058568IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - Provided is an image processing apparatus including an extraction unit that extracts representative colors from a target image, a color difference calculation unit that calculates a color difference between the representative color and a pixel of interest of the target image, a change unit that changes a brightness component of the color difference depending on chroma of the representative colors, and a replacement unit that selects the representative color depending on the color difference changed in the change unit to replace a color of the pixel of interest by the representative color.03-07-2013
20110013830IMAGE QUALITY EVALUATION SYSTEM, METHOD AND PROGRAM - Disclosed is a picture quality evaluation system that comprises a difference calculation part, which calculates the difference between data that represent a feature value of a pixel set comprising at least 1 pixel that constitutes a first image and data that represent a feature value of a pixel set comprising at least 1 pixel that constitutes a second image, a main area of focus calculation part, which uses at least the first image or the second image to determine the main area of focus of an image that has a specific feature and then calculates the main area of focus, which indicates the extent of the main area of focus, a difference weighting part, which weights the difference in the feature value in the pixel set contained in the main area of focus, based on the main area of focus, and a picture quality value calculation part, which calculates the picture quality value of the first image, based on the weighted difference from the difference weighting part.01-20-2011
20110013829IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS FOR CORRECTING SKIN COLOR, DIGITAL PHOTOGRAPHING APPARATUS USING THE IMAGE PROCESSING APPARATUS, AND COMPUTER-READABLE STORAGE MEDIUM FOR EXECUTING THE METHOD - Provided are an image processing method and an image processing apparatus for performing skin color correction for removing freckles and wrinkles by using mask pixels spaced apart from a center pixel by a predetermined number of pixels, a digital photographing apparatus using the image processing apparatus, and a computer readable storage medium having stored thereon a computer program for executing the method. According to various embodiments of the invention, the skin color correction for efficiently removing freckles and wrinkles and preserving an edge may be performed.01-20-2011
20120189196DETERMINING AN ORIENTATION DIRECTION OF A COLOR EDGE AT A PIXEL LOCATION IN A COLOR IMAGE - What is disclosed is a system and method for determining an orientation direction of a color edge at a given pixel location in a binary color image. The orientation direction of the color edge is determined from eight pixel counts with each pixel count being a total number of pixels in each of eight regions of a window centered about a candidate pixel which resides along the color edge. The eight regions are associated with 8 compass points. The orientation of the edge is determined by a 107-26-2012
20120224770SYSTEM FOR FLOOR NUMBER DETERMINATION IN BUILDINGS - A system may determine a number of floors of a building based on image data of the building. The system may determine a background color of a façade of the building shown in the image data. Using this background color, predefined deviations may then be detected that form the background color in the façade of the building. A mean number of predefined deviations in the vertical direction of the façade of the building may be determined, and the number of floors of the building based on the determined mean number of predefined deviations can be then be deduced.09-06-2012
20120224769Method for visual image detection - The method uses several steps to collect, analyze, compare, and flag an image for inappropriate content. The image is first collected based on detection and is analyzed via a database of inappropriate images. The collected image is scanned for skin-tone and/or texture, then the method eliminates the background of the image. The method then analyzes the curvature of the image. The next step is body part detection for inappropriate body parts. The image is then given a score based on all of the above steps. If the score is above a point, the image is flagged. If it is below a preselected point, the image is released. If the score is between the two points, it is withheld for further analysis.09-06-2012
20130064446IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - Provided is an image processing apparatus including a calculation unit that calculates, as a foreground feature vector, a feature vector indicating a difference between colors of pixels in a predetermined region including a target pixel and a color of the target pixel, using each of the pixels as the target pixel, a determination unit that determines whether to integrate two pixels or regions to be integrated, depending on similarity of the foreground feature vectors with respect to the two pixels or regions, and an integration unit that integrates the two pixels or regions determined to be integrated by the determination unit.03-14-2013
20130064447METHODS AND SYSTEMS FOR ANALYZING THE QUALITY OF DIGITAL SIGNATURE CONFIRMATION IMAGES - Methods and systems for evaluating an imager that produces bi-chrome images from a scanner or a digital imaging device, the bi-chrome images having pixels of a first and second color. In one embodiment, a method includes generating an image with a hand-held imaging device, the image having pixels of a first color and a second color, analyzing the image to determine information about particles of the first and second color contained in the image, each particle comprising contiguous pixels of the same color, the particle information comprising information on first and second color particle size and count, and determining if the image is unacceptable based on predetermined objective criteria and the particle information.03-14-2013
20130163864VIDEO DETECTION SYSTEM AND METHODS - A video detection system and method compares a queried video segment to one or more stored video samples. Each of the queried video segments and stored video samples can be represented by respective digital image sets. A first and second comparison comprises comparing a set of low and high resolution temporal and spatial statistical moments in a COLOR9 space, and eliminating file digital image sets that do not match the queried digital image set. A third comparison generates a set of matching files by comparing a set of wavelet transform coefficients in a COLOR9 space. RGB bit-wise registration and comparison of one or more subframes of specific frames in the queried digital image set to a corresponding set of matching file subframes determines queried subframe changes. In the event of a change in a queried subframe, the changed subframe is added to the set of matching file subframes.06-27-2013
20090087089CHIN POSITION CALCULATING APPARATUS, IMAGE PROCESSING APPARATUS THAT EMPLOYS THE CHIN POSITION CALCULATING APPARATUS, CHIN POSITION CALCULATING METHOD AND RECORDING MEDIUM HAVING A CHIN POSITION CALCULATING PROGRAM RECORDED THEREIN - Automatic detection of chin positions is enabled from within digital images regardless of the facing directions of the faces. Faces having skin color are detected from input color images. Reference lines from center positions between eyes and center positions of mouths, which are included in faces are calculated, based on the faces detected by the face detecting section. Data that indicates statistical positional relationships among center positions between eyes, center positions of mouths, and chins therein are obtained. Probabilities that the reference lines calculated by the reference line calculating section include the positions of chins, based on the data that indicates the statistical positional relationships and the reference lines are calculated. Probabilities of skin colored pixels being present on the reference line are calculated. Rates of brightness variations along the reference line are calculated. Positions of chins are calculated based on combinations of the above the results of calculation.04-02-2009
20090252407IMAGE DETECTING DEVICE AND METHOD - An image detecting device receives a video signal stream including at least one frame. Each frame includes rows of data, and each row of data has a plurality of pixels. The frame has an image portion and a blank portion. The image detecting device includes a characterizing unit and a searcher. The characterizing unit receives the pixels and determines pixel characterization values thereof. The searcher includes an image comparator and a blank comparator. The image comparator and the blank comparator evaluate the pixel characterization value of a current pixel to determine whether the current pixel belongs to the image portion or the blank portion. The searcher derives a position of the image portion based on determined results of the image comparator and the blank comparator. An image detecting method is also disclosed.10-08-2009
20090238452Region Detection - Disclosed herein are systems methods and devices related to region detection of an image. Detected regions include pixels of a particular one or more colors without requiring faces within the image to be previously detected. Region detection may include receiving information that a flash was used to capture the image or that return light was detected in the image.09-24-2009
20090238449Method and Apparatus for Absolute-Coordinate Three-Dimensional Surface Imaging - A method and associated apparatus for capturing an image of a 3D object (09-24-2009
20090232391Identifying Image Type in a Capture System - Visual objects can be classified according to image type. In one embodiment, the present invention includes capturing a visual object, and decompressing the visual object to a colorspace representation exposing each pixel. The contribution of each pixel to a plurality of image types can then be determined. Then, the contributions can be combined, and the image type of the visual object can be determined based on the contributions.09-17-2009
20120230582PHISHING ABUSE RECOGNITION IN WEB PAGES - A method of identifying potential phishing abuse images includes: producing a first color map that represents a subset of color values and pixel locations within a base image; producing a second color map that represents color values and pixel locations within a target image; selecting an alignment the first color map with the second color map such that at least some pixel locations of the first color map align with at least some pixel locations of the second color map; determining a measure of color value matching of aligned pixel locations for the selected alignment; and repeating the acts of selecting and determining until a prescribed threshold measure of color value matching is determined for at least one of the selected alignments or until an evaluation limit is reached.09-13-2012
20120114234METHOD AND APPARATUS FOR IMPROVED COLOR MANAGEMENT - A method and apparatus for color matching during compositing. Un-color matched pixels that form a window include a first region that includes un-color matched pixels and a second region that includes un-color matched pixels. The first region and the second region are associated with a first and second color profile respectively, which are different. During compositing of these un-color matched pixels, the un-color matched pixels of the first region are color matched based on the first color profile and a display color profile associated with the display, and the un-color matched pixels of the second region are color matched based on the second color profile and the display color profile. The color matched pixels are written to the display.05-10-2012
20120114233VIDEOLENS MEDIA ENGINE - A system, method, and computer program product for automatically analyzing multimedia data are disclosed. Embodiments receive multimedia data, detect portions having specified features, and output a corresponding subset of the multimedia data. Content features from downloaded or streaming movies or video clips are identified as a human probably would do, but in essentially real time. Embodiments then generate an index or menu based on individual consumer preferences. Consumers can peruse the index, or produce customized trailers, or edit and tag content with metadata as desired. The tool can categorize and cluster content by feature, to assemble a library of scenes or scene clusters according to user-selected criteria.05-10-2012
20120114232System and method for identifying complex tokens in an image - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, determining log chromaticity representations for the image, clustering the log chromaticity representations to provide clusters of similar log chromaticity representations and identifying regions of uniform reflectance in the image as a function of the clusters of similar log chromaticity representations.05-10-2012
20120114231Method and system for identifying tokens in an image - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying token regions in the image as a function pixel color comparisons relative to threshold values and varying the threshold values in selected areas of the image.05-10-2012
20130163865GUIDANCE DEVICE, GUIDANCE METHOD, AND GUIDANCE PROGRAM - A mark object that serves as a marker for a guidance point on a set route is specified, and coloration information related to a coloration of the mark object is acquired. Based on the coloration information, a correction information creating object before the mark object on the route having a coloration similar to the coloration of the mark object is specified. An image of the correction information creating object while a vehicle travels the route is acquired as a correcting image, and color correction information is calculated based on acquired color information and existing color information. A recognition template is then corrected based on the calculated color correction information to create a correction template. Thus, because the recognition template used for recognizing the mark object is corrected to a color more closely resembling the actual appearance of the mark object, the recognition accuracy of the mark object can be improved.06-27-2013
20130163863IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM - A processor of an image processing apparatus designates a target region. When an image is divided into a plurality of small regions which are smaller than a target region, the processor calculates a centroid obtained by weighting the central coordinates of each of the plurality of small regions by a likelihood of each of the plurality of the small regions and calculates a covariance matrix that depends on the centroid, the likelihood being based on characteristic value histograms of respective small regions inside and outside the target region. The processor detection unit detects a degree of separation according to a histogram, a likelihood, a centroid, and a covariance matrix. The processor also determines a post-update target region according to a degree of separation.06-27-2013
20110026817METHOD FOR MATCHING COLORS - A method for matching colors includes providing a first source of a first color and a second source of a second color; measuring a set of spectral values for first color stimuli associated with the first color; calculating a first set of tristimulus values; defining a first set of human observer color matching functions; calculating a first set of corrected tristimulus values from the first set of spectral values using the first set of human observer color matching functions; measuring a second set of spectral values for second color stimuli associated with the second color; calculating a second set of tristimulus values; defining a second set of human observer color matching functions; calculating a second set of corrected tristimulus values from the second set of spectral values; determining a difference between the first and second set of corrected tristimulus values; and adjusting one of the sources to reduce the difference.02-03-2011
20090110271COLOR RECOGNITION DEVICE AND METHOD THEREOF - A color recognition device is provided. The color recognition device includes a color image sensor, an image processing system, and a projection device. The color image sensor senses a color image having an image area with a specific color, and generates a first electrical signal corresponding to the color image. The image processing system receives the first electrical signal, modifies the color image, and generates a second electrical signal. The projection device receives the second electrical signal, and projects a modified image corresponding to the second electrical signal.04-30-2009
20110280478OBJECT MONITORING SYSTEM AND METHOD - An object monitoring system and method identify a foreground object from a current frame of a video stream of a monitored area. The monitoring system marks foreground pixels of the foreground object as interest points, and identifies a plurality of corresponding pixels of the foreground pixels as the interest points, to obtain a first pixel set. The object monitoring system searches pixels corresponding to the first pixel set from the background model to obtain a second pixel set if a pixel number of the first pixel set is larger than a determined value. By comparing a size of the first pixel set with that of the second pixel set, the object monitoring system can determine whether the object has entered or exited the monitored area.11-17-2011
20110280477METHOD AND SYSTEM FOR PREPROCESSING AN IMAGE FOR OPTICAL CHARACTER RECOGNITION - The present invention provides method and system for preprocessing an image including one or more of Arabic text and non-text items for Optical Character Recognition (OCR). The method includes determining a plurality of components associated with one or more of the Arabic text and the non-text items, wherein a component includes a set of connected pixels. A first set of characteristic parameters is then calculated for the plurality of components. The plurality of components are subsequently merged based on the first set of characteristic parameters to form one or more of one or more sub-words and one or more words.11-17-2011
20100008570IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - In order to prevent an image print and/or an image view from being visually monotonous, if it is determined that there is a similarity between similarity determination target images arranged in a specific area in an album, image processing is performed upon both or either of these similarity determination target images so as to eliminate the similarity between these similarity determination target images.01-14-2010
20110142334Accelerating Bitmap Remoting By Identifying And Extracting 2D Patterns From Source Bitmaps - Systems, methods and computer-readable storage media are disclosed for accelerating bitmap remoting by extracting non-grid tiles from source bitmaps. A server takes a source image, identifies possibly repetitive features, and tiles the image. For each tile that contains part of a possibly repetitive feature, the server replaces that part with the dominant color of the tile. The system then sends to a client a combination of new tiles and features, and indications to tiles and features that the client has previously received and stored, along with an indication of how to recreate the image based on the tiles and features.06-16-2011
20110299771METHOD FOR SKIN TONE DETECTION - There is described a method for detecting the presence of skin tone in an image. A gray scale representation of a pixel within the image is provided. Next, a red chrominance independent representation for is provided for the pixel. Then, the two representations are analysed to determine whether a difference in value between the representations corresponds with a the presence of a skin tone value. The present invention provides a rapid skin tone detection classifier particularly useful for real time applications.12-08-2011
20110299770PERFORMANCE OF IMAGE RECOGNITION ALGORITHMS BY PRUNING FEATURES, IMAGE SCALING, AND SPATIALLY CONSTRAINED FEATURE MATCHING - A method for feature matching in image recognition is provided. First, image scaling may be based on a feature distribution across scale spaces for an image to estimate image size/resolution, where peak(s) in the keypoint distribution at different scales is used to track a dominant image scale and roughly track object sizes. Second, instead of using all detected features in an image for feature matching, keypoints may be pruned based on cluster density and/or the scale level in which the keypoints are detected. Keypoints falling within high-density clusters may be preferred over features falling within lower density clusters for purposes of feature matching. Third, inlier-to-outlier keypoint ratios are increased by spatially constraining keypoints into clusters in order to reduce or avoid geometric consistency checking for the image.12-08-2011
20120106838ACTION ANALYSIS APPARATUS - An action analysis apparatus includes an acquiring unit that acquires moving image data including a series of frame image data obtained by imaging a human body and environmental information in a period when the moving image data is imaged, a unit that detects at least one image area in which a predetermined portion of the imaged human body is imaged in the frame image data and generates and stores information to identify the detected image area, a unit that (i) generates feature quantity information, (ii) generates information to identify frames of the moving image data imaged at a timing at which the feature quantity information satisfies a predetermined condition, (iii) obtains a length of continuous timings at which a length of the feature quantity information exceeds the predetermined condition based on to generated information, and (iv) stores the information.05-03-2012
20110135195SYSTEM AND METHOD FOR CLASSIFICATION AND SELECTION OF COLOR PALETTES - A system and method for categorizing color palettes are provided. A taxonomy for a particular type of achromatic entity, such as emotions, is generated and populated with a list of terms. Natural language terms extracted from annotated color palettes are associated with the corresponding achromatic entity categories in the taxonomy. Features are extracted from the color palettes. The features, together with the category information, are used to train a classifier which is then able to assign achromatic entities to palettes outside the training set, based on extracted features.06-09-2011
20110293175IMAGE PROCESSING APPARATUS AND METHOD - Provided is an image processing apparatus. When a plurality of images acquired by photographing different directions is input, a region search unit of the image processing apparatus may search for an overlapping region within the plurality of images. An outlier removal unit may remove an outlier within the retrieved overlapping region.12-01-2011
20110206277IMAGE PROCESSING APPARATUS AND STORAGE MEDIUM HAVING STORED THEREIN AN IMAGE PROCESSING APPARATUS PROGRAM - A processing object selection unit (for large size) 53 selects data of a plurality of pixels to be processed in texture processing from among YUV components of an original image. An orientation decision unit (for large size) 54 determines orientation of a brush stroke pattern using edge intensity of a Y component in horizontal and vertical directions for each of predetermined unit of pixels of the original image. A texture processing unit (for large size) 55 carries out first texture processing on data of the plurality of pixels selected by the processing object selection unit (for large size) 53 using colors of the pixels and the brush stroke pattern of the orientation determined by the orientation decision unit (for large size) 54. Also, second texture processing similar to the first is carried out only near the edge portion of the image by a processing object selection unit (for small size) 56, an orientation decision unit (for small size) 57, and a texture processing unit (for small size) 58. In this way, it is possible to generate data of an image with enhanced artistically creative effects by taking into account an original image as a whole.08-25-2011
20100266200IMAGE ANALYSIS THROUGH NEURAL NETWORK USING IMAGE AVERAGE COLOR - Architecture for comparing images by building an initial map from the average color and an inserted blackened area. Accordingly, a map can be built that is more information-rich and smaller, thereby making the system more efficient. The architecture employs a Kohonen neural network (or self-organizing map (SOM)) by guiding the learning of the SOM using characteristics of the images such as average color and a central area. A strong component of the average color of the image and the central area at the approximate center of the image are added to the uninitialized SOM, which allows related colors to converge toward the central area of the image. When input, the SOM organizes the color content of the image on a map, which can be used to compare the image with other images.10-21-2010
20110007968IMAGE EVALUATION METHOD, IMAGE EVALUATION SYSTEM AND PROGRAM - Disclosed is a picture quality evaluation method with which the amount of pixel change in a pixel set of a specified size is calculated between specified frames of a first image, and weighting processing based on the amount of pixel change is applied to a first picture quality value calculated based on specified data from the first image between at least the aforementioned specified frames to calculate a second picture quality value for the first image.01-13-2011
20090087087PATTERN CONVERSION FOR INTERPOLATION - A method of processing a digital image having a predetermined color pattern, includes converting the predetermined color pattern of the digital image into a converted digital image having a different desired color pattern; and using algorithms adapted for use with the desired color pattern for processing the converted digital image.04-02-2009
20080240554Image Color Discriminating Apparatus, Image Color Discriminating Method and Program - A method for discriminating a color of an object image. Whether unit data showing a color of a part of the object image corresponds to any position on a two-dimensional color plane is discriminated. A distribution value showing a width of a distribution range of the unit data in the color plane is acquired based on the discrimination result. Whether the object image corresponds to a full color image having mixed color expression, a specific color image not having mixed color expression or an achromatic color image is discriminated based on the distribution value.10-02-2008
20090110273Image Processing Device and Image Processing Program - An inspection apparatus includes an imaging device and an image processing device. The imaging device photographs a specimen and outputs a color image of the specimen to the image processing device. The image processing device subjects the color image of the specimen to negative-positive reversal. After detecting a mode value of the hue of the color image having been subjected to negative-positive reversal, the image processing device changes the hue of the color image in accordance with a difference between a boundary value of two predefined hues and the detected mode value. In accordance with the change of the hue, a plurality of target pixels different in the saturation is extracted and the saturation and the intensity of each pixel are changed, or the gradation of each pixel is converted so that the plurality of target pixels becomes most distant from one another in a color space.04-30-2009
20100128977Building change detection apparatus, Building change detection method and program - A building change detection apparatus detects a change in a building in a predetermined area on a map between a first time point and a second time point later than the first time point. A first image data acquiring unit acquires first image data of the predetermined area photographed at the first time point. A second image data acquiring unit acquires second image data of the predetermined area photographed at the second time point. A feature change detecting unit compares the first image data with the second image data to detect changes in features including a building in the predetermined area. A building absent area specifying unit specifies a building absent area in the predetermined area where a building is not present. A building change detecting unit detects a change in a building in the predetermined area by setting a feature whose change is detected by the feature change detecting unit in the predetermined area from which the building absent area is excluded, as a changed building in the predetermined area.05-27-2010
20100128978IMAGE PROCESSING APPARATUS AND PROGRAM RECORDING MEDIUM - The image processing apparatus according to the present invention includes a local skin color level calculating section, a local brightness deviation calculating section, and a correction amount calculating section. The local skin color level calculating section calculates, as a local skin color level, a skin color level in a predetermined local region in an image. The local brightness deviation calculating section calculates, as a local brightness deviation, a brightness dynamic range in the predetermined local region. The correction amount calculating section determines whether the predetermined local region is a skin region or not by using the local skin color level and the local brightness deviation.05-27-2010
20110170772SYSTEM AND METHOD FOR ALTERING IMAGES IN A DIGITAL VIDEO - A method of altering a distinctive image within a digital video file is provided, wherein data representing a set of images in the file is selected. The data is then scanned for a pixel having a color associated with the distinctive image. Then additional pixels having the color are located in a plurality of directions relative to the first pixel. A shape is determined based on the location of pixels, and the shape compared to the distinctive image so that a probability can be determined as to whether the shape represents the distinctive image. If the probability exceeds a confidence level, then the distinctive image is altered.07-14-2011
20080260244DEVICE AND METHOD FOR IDENTIFICATION OF OBJECTS USING COLOR CODING - A device and method for identifying a pre-defined pattern of colors in an image and associating the identified pattern with a value stored in a memory of an electronic device.10-23-2008
20090310856EXPANDED COLOR SPACE ARCHITECTURAL PAINT AND STAIN TINTING SYSTEM - White-pigmented and unpigmented base paints and stains are custom-tinted using an automated colorant dispenser having a minimum fluid dispensing quantity less than 0.01 fluid ounce (<0.3 cm12-17-2009
20100086204SYSTEM AND METHOD FOR CAPTURING AN EMOTIONAL CHARACTERISTIC OF A USER - An apparatus and method for collecting viewer information associated with a user while the user is acquiring and/or viewing multimedia content. The viewer information is interpreted to determine an emotional characteristic. The emotional characteristic may be stored with the multimedia content. Interpretation of emotional characteristic can provide several gradations of user's preference (e.g., the degree to which the user likes the content of the multimedia). It also can provide a relative degree of importance of the content to the user. Additionally, interpretation of the emotional characteristic can be made in terms of one or more specific emotions (e.g., happiness, sadness, fear, anger, etc.) evoked by the multimedia content. Emotional characteristics of other user may also be stored in the metadata of the multimedia content.04-08-2010
20090087088Image forming system, apparatus and method of discriminative color features extraction thereof - Provided are an apparatus and method of extracting a discriminative color feature, and an image forming system including: a photographing device to photograph an image of an object; a color feature extracting device receiving the image from the photographing device, extracting a discriminative color feature from the image, generating a final color model of the object, extracting a color blob of the object based on the final color model, performing blob analysis on the extracted color blob, and generating parameters to control a posturing of the photographing device according to the blob analysis; a control device receiving from the color feature extracting device the parameters to control the posturing of the photographing device, and controlling the posturing of the photographing device; a storage device storing the photographed image of the object; and a display device displaying the photographed image of the object.04-02-2009
20100080456DEVICE AND METHOD FOR OPTICALLY SORTING BULK MATERIAL - A device and a method are described for the optical selection of components of at least one fraction from a bulk material stream conveyed along a conveyance direction, having a camera unit, whose camera viewing direction is oriented toward the bulk material stream, a background, situated in the camera viewing direction behind the bulk material stream, whose color is adaptable to the color of a selected fraction of components of the bulk material stream, an analysis and control unit, connected to the camera unit, in which control commands for a separation unit, which is capable of separating the components to be selected out of the bulk material stream upon activation, may be generated according to a decision criterion.04-01-2010
20130084002RE-RANKING ITEM RECOMMENDATIONS BASED ON IMAGE FEATURE DATA - An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.04-04-2013
20120269429APPARATUS AND METHOD FOR SEARCHING IMAGE - Provided is an image search method, including: receiving query image information associated with at least one query image; computing feature information based on color information of the query image information; and retrieving similar image information using feature information of raw image information associated with at least one raw image and feature information of the query image information.10-25-2012
20090052770COLORSTICK - A device comprising an illumination means and a light sensing means, that can examine and memorize a discrete color of an object based on the magnitude of the reflected light bouncing off of the colored surface in at least three areas of the electromagnetic spectrum. The device also provides output as a visually and/or audibly perceptible signal for deciphering the color. The color range identified by the device is not limited to the visible spectrum and may include infra-red and ultra-violet light. A storage means for memorizing colors may also be included in the device. Applications of ColorStick technology may include children's toys, aids for the visually handicapped (e.g. blind or color blind individuals), designers, internet shoppers, gardeners, etc.02-26-2009
20120106837FOREGROUND BACKGROUND SEPARATION IN A SCENE WITH UNSTABLE TEXTURES - Disclosed herein are a system and method for performing foreground/background separation on an input image. The method pre-classifies (05-03-2012
20090263014CONTENT FINGERPRINTING FOR VIDEO AND/OR IMAGE - The subject matter disclosed herein relates to generating a fingerprint for identifying electronic video files based at least in part on color correlograms.10-22-2009
20100124372Methods and systems for identifying/accessing color related information - In one instance, the method of these teachings for identifying/accessing color related information includes generating, for a color image, a number of color clusters in a color space (e.g. RGB, HSV, CYMK, LUV, etc.), assigning each pixel in the image to one of the clusters, and separating the information identified with the color of the cluster; thereby identifying/accessing the color related information.05-20-2010
20090202147METHOD AND APPARATUS FOR SEARCHING FOR IMAGES - In a digital camera 08-13-2009
20090274364APPARATUS AND METHODS FOR DETECTING ADULT VIDEOS - Disclosed are apparatus and methods for detecting whether a video is adult or non-adult. In certain embodiments, a learning system is operable to generate one or more models for adult video detection. The model is generated based on a large set of known videos that have been defined as adult or non-adult. Adult detection is then based on this adult detection model. This adult detection model may be applied to selected key frames of an unknown video. In certain implementations, these key frames can be selected from the frames of the unknown video. Each key frame may generally correspond to a frame that contains key portions that are likely relevant for detecting pornographic or adult aspects of the unknown video. By way of examples, key frames may include moving objects, skin, people, etc. In alternative embodiments, a video is not divided into key frames and all frames are analyzed by a learning system to generate a model, as well as by an adult detection system based on such model.11-05-2009
20090297024IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, PROGRAM, AND STORAGE MEDIUM - An image processing apparatus includes a separation unit which determines the attribute of data contained in input document image data and separates the document image data into areas by attributes, an extraction unit which extracts, from the separated areas, an area of a graphics image as a target of vectorization processing, a determination unit which determines whether the attribute of the area of the graphics image is a clipart area or a line drawing area including a line drawing, and a vector conversion unit which performs vectorization processing corresponding to the attribute of the graphics image based on the determination result of the determination unit.12-03-2009
20090103802Device, system and method for characterizing a colour device - A method for characterizing a colour reproduction device. A first output colour measure responding to a first reference input colour value is measured under normal measurement conditions. The measurement conditions are modified and a second output colour measure responding to the first reference input colour value is measured under the modified measurement conditions. A transformation rule, enabling transformation between the second output colour measure and the first output colour measure, is calculated from the first colour value and the second colour value. A first set of output colour measures responding to a set of input colour values is measured under modified measurement conditions, and the first set of output colour measures is converted, using the transformation rule, to a second set of output colour measures. A system and a control device are also provided.04-23-2009
20120121174 METHOD FOR DETECTING AND ADAPTING VIDEO PROCESSING FOR FAR-VIEW SCENES IN SPORTS VIDEO - A method is disclosed for analyzing video to detect far-view scenes in sports video to determine when certain image processing algorithms should be applied. The method comprises analyzing and classifying the fields of view of images from a video signal, creating and classifying the fields of view of sets of sequential images, and selectively applying image processing algorithms to sets of sequential images representing a particular type of field of view.05-17-2012
20100142809METHOD FOR DETECTING MULTI MOVING OBJECTS IN HIGH RESOLUTION IMAGE SEQUENCES AND SYSTEM THEREOF - Provided is a method and apparatus for detecting multi moving objects in high resolution image sequences and performs moving objects on a screen using a general image collecting apparatus. The present invention provides a method of effectively removing the background of moving objects like motion of a leaf or reflection of a wave in an outdoor environment using a statistical method and uses a GPU installed in a general computer to process high resolution image sequences at high speed.06-10-2010
20120294522IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, PROGRAM AND IMAGING APPARATUS - Provided is an image processing apparatus, including an extraction color region determination unit which performs a process of determining an extraction color region including at least a partial region in an image using color information of an input image signal, and an image processing unit which performs image processing on the extraction color region of the input image signal determined by the extraction color region determination unit and/or the remaining region of the input image signal excluding the extraction color region, to obtain an output image signal.11-22-2012
20080285847Dynamo color coding system to validate, authenticate goods and services - Dynamo Color Coding System (DCCS) is a dynamic real time database and color-coding system that has uniquely been combined into a single web based application. The purpose of the DCCS is to give Producers an efficient mechanism to track, validate and authenticate their goods and services as they travel through the supply chain. The attributes for the data to be coded are defined real time and are virtually unlimited. Once the attributes are defined the data is entered using alphanumeric, characters or images into the system and processed through the encoder. The encoder is uses MDCT and Vector Quantization technology, along with the Mobis function. While the data is being processed through the encoder a time stamp and reference number is embedded into the code for authentication. Once encoded a label is created with the color code, the vector of the code and the color space vector. The application can create the code in many shapes that include honeycomb, squares, circles, PDF417 Barcode. The decoding process requires a secure log in and has 3 levels of validation 1) color plus interleave, 2) space decoding and 3) background and foreground color match. The device used for decoding includes RF Reader, digital camera, scanner or any other digital reading device. In addition, the code can be encapsulated into RFID chips, I Buttons or any other device. The verification is done through reading the code with a device and logging into the secure web site. The system conducts a match between the image that was read and the image stored in the database. The data and code are stored in a centralized repository. Dynamo Color Coding System is easy to incorporate into the existing manufacturing and supply chain pipeline and is easy to decode using any digital input device capable of capturing a digital image of the DCCS pattern. This easy to read mechanism will provide a budget alternate to expensive Bar Code scanners and readers, although they will continue to operate by upgrading their software with DCCS based decoders. It is also compatible to verity of printers from laser, inkjet, expensive label printers etc. due to generic in nature its inclusion in the goods and services pipeline will not only reduce the cost but will provide an auditable tracking mechanism.11-20-2008
20110007966Image Processing Apparatus, Image Processing System, Image Processing Method and Image Processing Program - An image processing apparatus MFP includes a memory for storing color data of a plurality of picture elements together with a correlation to identification information for identifying each picture element, and storing a reference value and a statistical value for each of a predetermined number of baskets; a classifying unit for classifying each of the plurality of picture elements into one of the baskets based on the color data and the reference value corresponding to the basket; a calculating unit for calculating the statistical value and the reference value of the basket accommodating the classified picture element based on the color data corresponding to the picture element; and a determining unit for determining a representative color of each basket based on the statistical value, and outputting the representative color of each basket and a result of the classification of each picture element.01-13-2011
20110007965QUANTITATIVE METHOD FOR EVALUATION OF FIBER TEAR ASSOCIATED WITH REMOVAL OF A FIRST LAYER THAT WAS ADHERED TO A SECOND LAYER - A method is provided for quantitatively evaluating fiber tear associated with removal of a cover that was adhered to a spine of bound pages of at least one book. The method includes optically imaging the spine of each book from which the cover was removed and generating a corresponding at least one digital image, and processing the images using a tangible processor executing image processing software. The processing includes selecting regions of the images that have a color which corresponds to a range of colors associated with a selected level of fiber tear, assigning a selected color to the selected regions which is contrasting relative to the colors of non-selected regions of the at least one image, selecting at least a portion of the images to analyze, and determining a percentage of the selected portion that is assigned the selected color.01-13-2011
20090190830Image Processing Apparatus, Image Processing Method and Image Processing Means - An image processing apparatus which extracts, from image data, drawing-photograph pixels forming a drawing or a photograph, the image processing apparatus including a pixel value replacement unit configured to replace pixel values of image data with plural representative pixel values; a candidate region extraction unit configured to extract plural candidate regions; a feature value acquisition unit configured to acquire a feature value indicating a degree of contained symbol pixels forming symbols; a feature value determination units.07-30-2009
20120033876IDENTIFYING VISUAL MEDIA CONTENT CAPTURED BY CAMERA-ENABLED MOBILE DEVICE - Automatic identification of media content is at least partially based upon visually capturing a still or video image of media content being presented to a user via another device. The media content can be further refined by determining location of the user, capturing an audio portion of the media content, date and time of the capture, or profile/behavioral characteristics of the user. Identifying the media content can require (1) distinguishing a rectangular illumination the corresponds to a video display; (2) decoding a watermark presented within the displayed image/video; (3) characterizing the presentation sufficiently for determining a particular time stamp or portion of a program; and (4) determining user setting preferences for viewing the program (e.g., close captioning, aspect ratio, language). Thus identified, the media content appropriately formatted can be received for continued presentation on a user interface of the mobile device.02-09-2012
20120033878AUTOMATIC AGE CLASSIFICATION OF FOREST LANDS - A false color composite image is created by assigning mid infrared data from three time-spaced images of an area of interest to corresponding RGB color components for the false color composite image. The RGB color components for the false color composite image are then converted into color space data and classified into a number of color classes. An age is assigned to the color classes to create a classified image of age classes of the area of interest.02-09-2012
20130216132IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus for applying to a color image a pattern corresponding to a color of the color image includes a pattern determination section that determines a hatch pattern having a foreground and a background which serves as a pattern in accordance with a color of a pixel in the color image, 08-22-2013
20100142810IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus performs character recognition processing on a character image in a character area to obtain character code data, and performs vectorization processing on the character image in the character area to obtain vector data. Based on the rule set for each of a plurality of color information definitions and the character color of the character image, the image processing apparatus generates a plurality of color information definitions that define colors to be used in rendering the character code data and the vector data, so that an electronic document is generated that contains the character code data, the vector data, and the plurality of color information definitions.06-10-2010
20100142808IDENTIFYING BANDING IN DIGITAL IMAGES - One or more implementations access a digital image and determine whether at least one portion of the digital image includes one or more bands having a difference in color. The determination is based on at least two candidate scales. One or more implementations access a digital image and assess at least a portion of the digital image for the existence of one or more bands having a difference in color. The assessing includes determining a fraction of pixels in the portion having a color value offset by an offset value from a color value of a particular pixel in the portion.06-10-2010
20130216131Image Preprocessing - A method performed by a software process executing on a computer system, includes obtaining a digital image having a plurality of pixels encoded in a YUV color space. Each pixel has a luma component of value Y, a blue color-difference component of value U and a red color-difference component of value V. For a specified pixel, the method includes calculating whether U is less than a first threshold and V is greater than a second threshold. The method further includes determining whether the specified pixel potentially depicts an orange hue depending on a result of the calculation.08-22-2013
20090161950Image segregation system with method for handling textures - In an exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of converting a color band representation of the image to a homogeneous representation of spectral and spatial characteristics of a texture region in the image and utilizing the homogeneous representation of spectral and spatial characteristics of a texture region in the image to identify homogeneous tokens in the image.06-25-2009
20080317337System and method for decomposing a digital image - A system and method for decomposing a digital image is provided. A digital image is represented as a word-graph, which includes words and visualized features, and zone hypotheses that group one or more of the words. Causal dependencies of the zone hypotheses are expressed through a learned generative zone model to which costs and constraints are assigned. An optimal set of the zone hypotheses are inferred, which are non-overlapping, through a heuristic search of the costs and constraints.12-25-2008
20090136126COLOR PROCESSING APPARATUS AND METHOD THEREOF - Color processing is executed in consideration of a change in size of a region of interest in a moving image. To this end, a region of interest is set in each frame image of a moving image and an occupied area ratio indicating an amount that the region of interest occupies with respect to the entire frame image is calculated for each of the frame images set with the regions of interest. A temporal increase or decrease of the occupied area ratio is determined based on the occupied area ratios of a plurality of frame images set with the regions of interest, and a color processing method is set for each frame image based on the occupied area ratio and the temporal increase or decrease determination result. Color processing is applied to each frame image by the color processing method set for that frame image.05-28-2009
20090136125IMAGE ANALYSIS DEVICE AND IMAGE ANALYSIS METHOD - An image corresponding to image data obtained by imaging by a camera is divided into a plurality of image pieces and each of the image pieces is subjected to a color analysis process, a fractal dimension analysis process, and an artificial object amount recognition process. According to a combination of the results obtained by the three processes, a part of a landscape contained in each of the image pieces is classified and the entire characteristic of the landscape contained in the image is judged according to the classification result.05-28-2009
20120070078Histogram Methods and Systems for Object Recognition - A multidimensional histogram is used to characterize an image (or object), and is used to identify candidate matches with one or more reference images (or objects). An exemplary implementation employs hue information for two of the dimensions, and a second derivative function based on luminance for a third dimension. The simplicity and speed of the detailed arrangements make them well suited for use with cell phones and other mobile devices, which can use the technology for image/object recognition, e.g., in visual search applications.03-22-2012
20090141974IMAGE PROCESSING APPARATUS AND METHOD, AND PROGRAM - An image processing apparatus includes a feature extracting unit configured to extract a feature in each local area from an image including a plurality of colors in bands of visible radiation and non-visible radiation, the feature having elements representing ratios between a reference color and individual colors; and a discriminating unit configured to discriminate an object in each local area by using the feature extracted for the local area by the feature extracting unit.06-04-2009
20090252406Spectral Characteristic Calculating Device and Method - A spectral characteristic calculation device stores a plurality of conversion matrices used to calculate the spectral characteristic values based on brightness values of a digital color image, and a plurality of pieces of brightness value information respectively corresponding to a plurality of sample groups. The plurality of conversion matrices are generated based on the sample color image information contained in the plurality of sample groups, respectively. An evaluating unit is configured to evaluate similarity of brightness value information of the target data with respect to each of the plurality of pieces of brightness value information of the plurality of sample groups. A conversion matrix corresponding to the sample group that is evaluated to have the highest similarity is selected as the conversion matrix. Then, a calculating unit calculates the spectral characteristic values of the target data using the conversion matrix selected by the selecting unit.10-08-2009
20120063680SYSTEMS, METHODS, AND MEDIA FOR CREATING MULTIPLE LAYERS FROM AN IMAGE - A method for creating a plurality of layer images from an input image is provided. The method includes analyzing an input image for color content to detect at least one dominant color in the image and for shape recognition to detect at least one object in the image. The method also includes generating a concentric grid for the input image based on the color content analysis and the shape recognition for a depth calculation of the input image. The concentric grid includes a center point, a plurality of lines that radiate from the center point, and a plurality of concentric circles that expand at a spatial distance in the input image. The concentric circles divide the input image into a plurality of sections, each of which represents an equal spatial depth. The method further includes generating a plurality of layer images using at least two of the plurality of sections.03-15-2012
20090041345METHOD AND SYSTEM OF FACILITATING SEARCH BY COLOR - A system and method of facilitating search by color processes an image of an item to obtain its color space parameter values and/or color names based on the color space parameter values, and adds the color space parameter values and/or color names as color attribute of the item. When a user inputs a color as a search criterion, the method searches the color attributes of items, and returns a list of items matching the color selected by the user.02-12-2009
20110142337Method For Red-eye Detection - A method involving generating a pixel map of a digital image, scanning the pixel map and labeling a found red pixel, where each row of the pixel map is scanned for a red pixel, where a coordinate of each labeled red pixel is stored and compared to surrounding red pixels, arranging found labeled red pixels with previously found labeled red pixels that have a corresponding y-axis coordinate thereby creating a contiguous group, determining if the contiguous group is a red-eye artifact, and creating a list of coordinates that denote red-eye artifacts within the digital image.06-16-2011
20090052771COLOR PROCESSING METHOD AND APPARATUS - In order to implement color matching with higher precision, a device that handles object colors and a device that handles light-source colors must be separately processed. Hence, when the device type is a device that handles light-source colors, control is made so as not to perform processing (forward color appearance model conversion and inverse color appearance model conversion) for converting calorimetric conditions of a calorimetric value file into viewing conditions. When the device type is a device that handles object colors, the processing for converting the calorimetric conditions of the calorimetric value file into the viewing conditions is performed, and a profile is created from the calorimetric values.02-26-2009
20110229025METHODS AND SYSTEMS FOR GENERATING SALIENCY MODELS THROUGH LINEAR AND/OR NONLINEAR INTEGRATION - Methods and systems for generating saliency models are discussed. Saliency models can be applied to visual scenes to generate predictions on which locations in the visual scenes are fixation locations and which locations are nonfixation locations. Saliency models are learned from fixation data on the visual scenes obtained from one or more subjects.09-22-2011
20110229026IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM OF IMAGE PROCESSING METHOD - An image region extracting unit binarizes image data inputted from an image inputting unit and labels the binarized image data based upon a feature value of a pixel to be segmentized into a plurality of image regions. A contour connection determining unit 09-22-2011
20130216129Recognition method and system for component images - A recognition method includes: retrieving a component image from an image source; utilizing SVD (singular value decomposition) to decompose the component image; and utilizing the decomposed component image for image recognition. In an embodiment, the recognition method further includes: utilizing a light compensation method to calculate at least one light compensation coefficient; utilizing the light compensation coefficient to process the component image to obtain a light-compensated component image; utilizing the light-compensated component image for image recognition.08-22-2013
20110142338METHOD OF DETECTING SKIN-COLORED AREA USING VARIABLE SKIN COLOR MODEL - The present invention relates to a method of detecting a skin-colored area using a variable skin color model. In the method, an initial skin-colored area is extracted from an input image using a skin color model, the initial skin-colored area being repeatedly extracted by adjusting a threshold value, which is a criterion for the selection of a skin-colored area, until a ratio of size of the extracted skin-colored area to size of the entire input image becomes less than a predetermined value. A skin-colored area is extracted by applying the threshold value determined in the first stage to the skin color model, the skin color model being modified by analyzing characteristics of object regions and noise regions of the skin-colored area. The skin-colored area detection method can obtain a high skin-colored object detection rate and a high false alarm rate even under various lighting and background conditions.06-16-2011
20110142336SIMILAR SHADER SEARCH APPARATUS AND METHOD USING IMAGE FEATURE EXTRACTION - A similar shader search apparatus using image feature extraction includes: an image extraction unit configured to classify color, texture, pattern features of a 2D image, into a color feature set, a texture feature set, and a pattern feature set, numerically analyze the respective feature sets, and extract a feature value of the image; a shader extraction unit configured to analyze a predetermined stored shader, classify features having an effect upon color, texture, and pattern into a color feature set, a texture feature set, and a pattern feature set, numerically analyze the respective feature sets, and extract a feature value of the shader; and a distance function calculation unit configured to receive the image feature value and the shader feature value, calculate the similarity of color between the image and the shader, and calculate the similarity of texture between the image and the shader using the Euclidean distance function.06-16-2011
20110222763DEVICES AND METHODS OF READING MONOCHROMATIC PATTERNS - A method of extracting data from an identifiable monochromatic pattern. The method comprises separating a polychromatic optical signal, received from an object having identifiable monochromatic pattern, into a plurality of wavelength components, separately capturing each of the wavelength components, reconstructing a plurality of images each from a different wavelength component, detecting the identifiable monochromatic pattern in one or more of the images, and extracting data associated with or encoded by the detected identifiable monochromatic pattern. The images have different depths of field.09-15-2011
20130121570Methods and Apparatus for Visual Search - For each image of a set of images, the each image is characterized with a set of fixed-orientation texture descriptors and a set of color descriptors. The set of images is indexed in a color index and a texture index. Similarly, a query image is characterized with a set of fixed-orientation texture descriptors. The set of fixed orientation texture descriptors of the query image includes a set of fixed orientation descriptors for each of a set of rotated query images, and a set of color descriptors of the query image. A rotated local Bag-of-Features (BoF) operation is performed upon the set of rotated query images and the set of images. Each of the set of images is ranked based on the rotated local Bag-of-Features operation.05-16-2013
20090220149METHOD, A SYSTEM, AND A COMPUTER PROGRAM PRODUCT FOR PROCESSING IMAGES - A method for processing an image of a person, the method including: (i) defining a first search area in response to a value of a metric parameter and to a location of an element of interest within the image; (ii) generating an edge detection data structure, wherein some of the elements of the edge detection data structure are indicative of edges of the image which are located within an edge detection search area that is contained within the first search area; (iii) determining a contour path in the edge detection data structure in response to multiple edges of the edge detection data structure, wherein the contour path includes a single data structure element from each column of the data structure; and (iv) retrieving a face portion of the image, wherein the face portion is included within a mask that is responsive to the contour path.09-03-2009
20090257650Image processing method and medium to extract a building region from an image - Provided is a method of performing an image segmentation so as to extract a building region from an input color image. The method includes extracting a plurality of straight lines that pass through a vanishing point and determining the building region in the image based on color values around the plurality of straight lines.10-15-2009
20080260243Device of Analysing the Colour of a Unhomogeneous Material, Like Hair, and Method Thereof - A device for analyzing the color of a nonhomogeneous material, utilizable for example for analysing the hair color of an individual includes at least one of an illumination source for illuminating the above sample of a nonhomogeneous material, a display structure for exposing the sample of a nonhomogeneous material to the radiation emitted from the illumination source, detection means for the digital acquisition of the image of the sample illuminated from the illumination source, and processing means for transforming the digital acquisition readings of the image of said detection means in coordinates comparable with the perception of the human eye.10-23-2008
20090238451IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING SYSTEM - An image processing apparatus includes a reading unit, a color value calculation unit, a reading period measurement unit, a color value storage unit, a color value creation unit and a color value output unit. The reading unit reads a color of each of plural objects. The color value calculation unit calculates a color value of the color of each read object. The reading period measurement unit measures a time period during which the reading unit reads each object. The color value storage unit stores the color value calculated and time period information indicating the time period measured, for each object. The color value creation unit creates a new color value based on the color values of the plurality of objects and the time period information stored in the color value storage unit. The color value output unit outputs the new color value created.09-24-2009
20090257649VIDEO SCENE CLASSIFICATION DEVICE AND VIDEO SCENE CLASSIFICATION METHOD - When classifying pictures, to enable classification having high robustness by generating indexes for classification, dynamically changing processing areas within the picture based on a video content.10-15-2009
20090245627CHARACTER RECOGNITION DEVICE - The present invention firstly roughly classifies an analysis range specified by the operator in the color image data of a form into background, a character frame and a character, precisely specifies a character frame on the basis of the classification result, eliminates the character from the color image data from which the background is eliminated and recognizes the remaining character.10-01-2009
20090285477METHOD AND COMMUNICATION TERMINAL FOR SEARCHING PHONE BOOK FOR DESIRED CONTACTS - A method for searching a phone book for desired contacts and a communication terminal using the method are provided. The method includes the steps of: enabling an image acquisition device to capture a present image, calculating a color value of the present image, comparing a reference color value for each contact in the phone book with the color value of the present image, selecting the desired contacts for which the reference color value matches the color value of the present image and displaying the desired contacts.11-19-2009
20090116738Image processing apparatus, image forming apparatus, image processing method, and recording medium on which image processing program is recorded - Based on average values for respective color components calculated by an average value calculating section, a histogram generating section obtains, for respective pixels of interest, a maximum value of the average values among the color components and a maximum difference in the average values among the color components, and generates histograms respectively for the maximum value and the maximum difference in which histograms a number of pixels for a density bin is considered as a frequency-of-occurrence value. A determination section obtains a number of density bin having a predetermined frequency-of-occurrence value or more for each of the histograms for the maximum value and the maximum difference, and determines that the data of image is of a blank page image when both of the numbers of density bins are not greater than a bin threshold value which is set according to scanning modes or printing modes.05-07-2009
20120033877Method for Entropy-Based Determination of Object Edge Curves - In a method for determining object edge curves in a recorded image of a multispectral camera, the image recorded is converted into a false color image, hue value from the HSV color space is assigned to each pixel in the false color image such that the hue value corresponds to a hue angle on a predetermined color circle, and the pixels are classified as object pixels and background pixels, such that those pixels with hue values that are within a predetermined value range are defined as the object pixels. An entropy profile is then determined by way of a displaceable evaluation window, such that the entropy of mixing S is calculated for each pixel from the object pixels and background pixels according to the equation:02-09-2012
20100183221IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - According to one embodiment, an image processing apparatus includes an image-capturing module configured to captures an image, a module configured to detect a first object region from the image, a module configured to extract color information of an image of the first object region, a module configured to detect candidates of a second object region, which is an object of recognition, from the image, a module configured to extract color information of an image of the second object region, and sets reference color data, a module configured to select the candidates of the second object region on the basis of the reference color data and the color information of the image of the first object region with respect to each of the candidates of the second object region, and a module configured to output, as an object of recognition, any one of the candidates of the second object region.07-22-2010
20100189347SYSTEMS AND METHODS FOR IMAGE PROCESSING - A facility is provided for recognizing blank and nearly blank images. In various embodiments, the facility receives an indication of an image, creates an analysis image based on the received image by detecting edges, determines an edge ratio for the analysis image, determines whether the edge ratio exceeds a threshold and, when the edge ratio does not exceed the threshold, identifies the received image as a blank image. The facility can include an edge detector component that creates an analysis image based on a selected image by detecting edges in the selected image, a calculator component that calculates an edge ratio for the analysis image, and an analysis component that determines whether the calculated edge ratio exceeds a threshold.07-29-2010
20100215261APPARATUS AND METHOD FOR IMPROVING TEXT RECOGNITION CAPABILITY - Disclosed are an apparatus and a method for text recognition capability using a camera provided in a mobile communication terminal. Image pre-processing discriminates a text color and a text-background color in an input image, and unifies regions except the text into the text-background color, so that a text region and a background region surrounding the text region can be precisely separated. The image pre-processing method is adaptive to a photographing environment, whereby stable text recognition capability can be expected even if the photographing environment is variously changed.08-26-2010
20130216130IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - A device and method for generating RGB arrangement data from an imaging signal by a photograph imaging device having an RGBW arrangement are provided. An edge detection unit analyzes an output signal in the RGBW arrangement from the imaging device, and thus obtains edge information corresponding to each pixel, and a texture detection unit generates texture information. Furthermore, a parameter calculation unit performs an interpolation process of converting an application pixel position according to the edge direction corresponding to a conversion pixel. A blend process unit inputs a parameter which the parameter calculation unit generates, edge information and texture information, and determines a conversion pixel value by performing a blend process by changing a blend ratio of the parameter which the parameter calculation unit calculates, according to the edge information corresponding to the conversion pixel and the texture information.08-22-2013
20100215260Image processing apparatus, image processing method, and program - A representative pixel value calculation unit (08-26-2010
20100239160IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM - This invention generates a digital document by applying character recognition to character images in a document image, and rendering the character recognition result on the document image in a transparent color. This digital document allows to specify a part corresponding to a search keyword on the document image upon conducting a search. When this digital document is generated, it includes a description required to use glyph data (font data) of a simple character shape commonly to a plurality of character types as font data used upon rendering the character recognition result. Therefore, even when the digital document needs to save font data, an increase in file size can be minimized. Also, by rendering using a simple character shape, the data size of the font data itself can be reduced.09-23-2010
20100232690IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM - An image processing apparatus includes a character recognition unit configured to perform character recognition on a plurality of character images in a document image to acquire a character code corresponding to each character image, and a generation unit configured to generate an electronic document, wherein the electronic document includes the document image, a plurality of character codes acquired by the character recognition unit, a plurality of glyphs, and data which indicates the glyphs to be used to render each of the character codes, wherein each of the plurality of glyphs is shared and used by different character codes based on the data when rendering characters that correspond to the plurality of character codes acquired by the recognition unit.09-16-2010
20100208986ADAPTIVE UPDATE OF BACKGROUND PIXEL THRESHOLDS USING SUDDEN ILLUMINATION CHANGE DETECTION - Techniques are disclosed for a computer vision engine to update both a background model and thresholds used to classify pixels as depicting scene foreground or background in response to detecting that a sudden illumination changes has occurred in a sequence of video frames. The threshold values may be used to specify how much pixel a given pixel may differ from corresponding values in the background model before being classified as depicting foreground. When a sudden illumination change is detected, the values for pixels affected by sudden illumination change may be used to update the value in the background image to reflect the value for that pixel following the sudden illumination change as well as update the threshold for classifying that pixel as depicting foreground/background in subsequent frames of video.08-19-2010
20090074289IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus comprises: an edge extraction section for extracting an edge of an object of a character or a line drawing included in an image; a judgment section for judging, based on the image, a possibility that the object is an image including a plurality of colors and the object is a black object having a pixel value of an image of each color being not less than a certain value; and an edge processing section for adjusting the pixel value of the extracted edge of the object according to a result obtained by the judging by the judgment section.03-19-2009
20090324067System and method for identifying signatures for features of interest using predetermined color spaces - A system and method for identifying objects of interest in image data is provided. The present invention utilizes principles of Iterative Transformational Divergence in which objects in images, when subjected to special transformations, will exhibit radically different responses based on the physical, chemical, or numerical properties of the object or its representation (such as images), combined with machine learning capabilities. Using the system and methods of the present invention, certain objects that appear indistinguishable from other objects to the eye or computer recognition systems, or are otherwise almost identical, generate radically different and statistically significant differences in the image describers (metrics) that can be easily measured.12-31-2009
20090324068IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT - An image processing apparatus includes a scanner that receives image data, an area extracting unit that extracts image data of visually different image areas from the received image data, an HDD that stores therein the extracted image data, a criterion storage unit that stores a plurality of criteria for identifying each of the image areas as one of processing areas, a device interface unit that receives a selection of an image segmentation mode from a user, a selecting unit that selects a criterion from the criteria stored in the criterion storage unit based on the selected image segmentation mode, and a processing unit that identifies each of the image areas as one of the processing areas based on the selected image segmentation mode and performs image processing corresponding to the identified processing area.12-31-2009
20110026818System and method for correction of backlit face images - The subject application is directed to a system and method for backlit face image correction. Image data is first received that includes at least one facial region that defines an image human face. At least one facial region is detected via a processor that operates in accordance with software and an associated data storage. Skin tone characteristics of the at least one facial region are then detected. Pixel count data and histogram data are then calculated from the received image data. A plateau is then detected in a function of the pixel count data relative to the histogram data. A correction factor, based upon a property of the detected plateau, is then calculated. Pixel values of the at least one facial region are adjusted in accordance with the calculated correction factor. Thereafter, a corrected image is output that includes adjusted pixel values corresponding to at least one facial region.02-03-2011
20090324070INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - An information processing apparatus inputs image data and calculates a relative magnitude between coefficient or pixel values of the input image data. The image processing apparatus generates verification data of the image data using the calculated relative magnitude.12-31-2009
20100220925DETECTING METHOD AND DETECTING SYSTEM FOR POSITIONS OF FACE PARTS - A method and a system for simply and automatically detecting the positions of eyes, mouth, and nose in a face image with high reliability are provided. A plurality of grayscale images with gradually varying lightness are formed from a face image. Then, a process (fade-in process) is performed which detects pixel block areas that gradually appear in a face area in the grayscale images as the face area that is in a fade-out state at high lightness fades in and is brought into a fade-in state at low lightness. The detected pixel block areas include paired pixel block areas appearing as a pair. The positions of the eyes are determined based on the number of appearance of the paired pixel block areas over all the grayscale images. The positions of the mouth and nose are determined based on the positional relationship between the eyes and pixel block areas which are detected by the fade-in method and in which gradually appearing pixels no longer grow.09-02-2010
20090110270Use of Composite Bitmapped Images in Conjunction with Display of Captured Data - In order to efficiently present data extracted from a captured image of an assessment document, a single bitmapped composite image is constructed from multiple images or components such that each layer or content type is stored within discrete bits within each pixel. Different layers are then shown, hidden, emphasized, or otherwise manipulated within a display process through the use of palette color manipulation. Applications to other than assessment documents are discussed.04-30-2009
20130129209Detecting Skin Tone in Images - One aspect of the subject matter described in this specification can be implemented in a method that includes sampling an image to generate a sample portion; evaluating pixels in the sample portion to determine whether the pixels correspond to skin tone colors; generating, based on the determination, a skin tone result indicating a confidence level that the received image includes a depiction of human skin; and providing the skin tone result to an image management application to indicate a likelihood the image depicts a human face.05-23-2013
20130129210RECOMMENDATION SYSTEM BASED ON THE RECOGNITION OF A FACE AND STYLE, AND METHOD THEREOF - The present disclosure relates to a recommendation system based on the recognition of a face and style, and method thereof. More particularly, face and style feature information is extracted from a user image, face and style characteristics are recognized from the extracted face and style feature information, and then recommendation style information (for example, a hair style, a make-up style, product information, or the like) matched with the recognized face and style characteristics is searched in a recommendation style table templated in advance according to characteristics to thereby be recommend, such that recommendation style information most appropriately matched with user's face and style may be rapidly and easily recommended.05-23-2013
20090110272METHOD AND APPARATUS OF SEARCHING FOR IMAGES - A method for searching images comprising the steps of: 04-30-2009
20100296729METHOD FOR IMAGE ANALYSIS, ESPECIALLY FOR MOBILE STATIONS - A robust OCR system requiring little computing capacity is obtained by first carrying out an adaptive pre-processing optimised in terms of pixel groups, which analyses the image in line segments. The most significant difference compared to previously known methods is that there is no longer a direct pattern comparison, instead the line segments are gone over in as optimum a manner as possible. The corresponding character is then deduced from the sequence of movements. As this sequence of movements can be scaled well and described in a relatively simple manner, this technique is especially suitable for mobile use. The sequence of movements of know characters is stored in a search word, such that the letters can be directly deduced from the movement. A dictionary/lexicon can also be used. If words are recognised by means of the dictionary/lexicon, the recognised letters can be used for an even more optimised character font identification. The invention is advantageous in that a robust OCR system is provided, which also requires little computing capacity. The system according to the invention is robust especially in that the recognition works better than with conventional systems even under bad conditions, especially light ratios and interferences.11-25-2010
20130136349METHOD AND SYSTEM FOR DETERMINING COLOUR FROM AN IMAGE - Embodiments of the invention relate to the determination of the colour of a colour sample from an image of the colour sample. In one embodiment a colour sample capture card is provided having printed thereon colour samples of known colour (for example, XYZ tri-stimulus values). An image of the test colour sample is then captured using domestically available equipment, such as a consumer digital camera or camera-equipped mobile telephone, the image also containing the colour sample capture card. In one embodiment the image is then transmitted to a remote colour determination service for colour sample colour determination. Regression analysis is then performed using the RGB colour samples in the image and known XYZ colours thereof to characterise the colour capture response of the image capture device. Having characterised the image capture device the XYZ colour of the unknown colour sample can be determined from the RGB colour thereof in the image. Knowing the XYZ colour, the colour can then be matched to a palette of paint colours, to determine a paint colour to match the unknown colour.05-30-2013
20130136350APPARATUS AND METHOD FOR FOREGROUND DETECTION - An apparatus and a method for fast foreground detection are provided. A foreground characteristic value calculation module calculates a foreground characteristic value by using an image intensity of each pixel in a target image and a background intensity of a corresponding pixel in a background model. A first filter determines a first threshold and a second threshold according to at least one scenic factor for capturing the target image and filters out non-foreground pixels having their foreground characteristic value between the first threshold and the second threshold from pixels in the target image. A second filter determines an image difference condition and a chroma similarity condition according to the scenic factor and filters out non-foreground pixels having their foreground characteristic value satisfying the image difference condition and the chroma similarity condition from pixels left by the first filter. Pixels left by the second filter are served as foreground pixels.05-30-2013
20130136351INFORMATION PROCESSING APPARATUS HAVING WIRELESS COMMUNICATION FUNCTION AND METHOD OF CONTROLLING THE APPARATUS - An image processing apparatus includes a color intersection point determination and contour point extraction unit configured to raster-scan a multivalued image by using a pixel matrix having a predetermined size, to determine whether a target point is a color intersection point for dividing a contour for forming a boundary between pixels having a different value from each other, according to states of a plurality of pixels in the pixel matrix, and to extract a contour point for forming the boundary between the pixels having a different value from each other; and a contour information reconstruction unit configured to, by using color intersection points determined by the color intersection point determination and contour point extraction unit and contour points extracted thereby, generate contour information including contour lines each being sectioned by the color intersection points.05-30-2013
20130136352METHOD OF CHROMATIC CLASSIFICATION OF PIXELS AND METHOD OF ADAPTIVE ENHANCEMENT OF A COLOR IMAGE - A method of processing digital images by transforming a set of pixels from a three-dimensional space to a normalized two-dimensional space, determining a membership class and membership class level of each pixel in the set of pixels, and selectively modifying colors of pixels in the set of pixels based on the determined membership classes and membership class levels.05-30-2013
20130136353BACKGROUND MODEL FOR COMPLEX AND DYNAMIC SCENES - Techniques are disclosed for learning and modeling a background for a complex and/or dynamic scene over a period of observations without supervision. A background/foreground component of a computer vision engine may be configured to model a scene using an array of ART networks. The ART networks learn the regularity and periodicity of the scene by observing the scene over a period of time. Thus, the ART networks allow the computer vision engine to model complex and dynamic scene backgrounds in video.05-30-2013
20130142426IMAGE RECOGNITION APPARATUS, CONTROL METHOD FOR IMAGE RECOGNITION APPARATUS, AND STORAGE MEDIUM - An image recognition apparatus comprises an image obtainment unit configured to obtain an image; a region setting unit configured to set at least one local region in the image; a feature extraction unit configured to extract feature patterns from the local region; a setting unit configured to set, out of a plurality of bins corresponding to a plurality of patterns which can form the feature patterns, bins that have been predetermined in accordance with a type of the local region as histogram bins used in generating a histogram; a generation unit configured to generate a histogram corresponding to the extracted feature patterns using the set histogram bins; and a recognition unit configured to perform image recognition using the generated histogram.06-06-2013
20110007967Method and arrangement for retrieving information comprised in a barcode - A method of retrieving information comprised in a barcode is disclosed. The method comprises detecting that the barcode is present in a first image having a first image quality and capturing a first region, acquiring, when it is detected that the barcode is present, a second image having a second image quality and capturing a second region, wherein the second image quality is higher than the first image quality, and wherein the second region at least partly overlaps the first region, and decoding the barcode based on the second image to retrieve the information. A corresponding program product and a corresponding arrangement are also disclosed along with a communication device comprising the arrangement.01-13-2011
20100183220Imaging device color characterization including color look-up table construction via tensor decomposition - A model-based method and apparatus for characterizing the performance of a printing device comprising printing a target set of patches with the device and measuring device response when the target is set; compiling a LUT from the target set and measured response; and representing the LUT as a tensor. Tensor decomposition/parallel factor analysis is employed for compacting the tensor representation of the LUT.07-22-2010
20110026816Rapid image categorization - The present invention discloses a method comprising: acquiring an image; digitizing the image; selecting one or more rows from a portion of the image; performing a line scan of the selected rows; retrieving a reference scan; comparing the line scan with the reference scan; identifying a feature; and categorizing the image.02-03-2011
20110033106METHODS OF REPRESENTING AND ANALYSING IMAGES - A method of representing and analysing images comprises producing a plurality of descriptors of an image at one or more scales and for one or more colour channels, said descriptors capturing colour content and interrelation information within the regions, and associating the descriptors in a plurality of ways based on their characteristics such as scale, colour channel, feature semantics, and region, and comparing such representations of images to assess the similarity of images.02-10-2011
20110033107IMAGE PROCESSING METHOD, RECORDING MEDIUM WITH RECORDED IMAGE PROCESSING PROGRAM AND IMAGE PROCESSING APPARATUS - An image processing method for carrying out predetermined correction processing with respect to one or more items regarding the quality of color images and the image processing method comprises a judgment step for judging the necessity/normecessity of correction with respect to each of the above-mentioned items and a correction processing step for carrying out the predetermined correction processing with respect to the item judged as required to be corrected at the above-mentioned judgment step.02-10-2011
20100172581METHOD, SYSTEM, AND COMPUTER READABLE MEDIUM FOR FACE DETECTION - A method, system, and computer readable medium for detecting a face in a video stream including receiving a sequence of input color images; and for each input image, calculating a greyscale image of the input color image, creating a one-bit motion image based on the current and a previous greyscale image, calculating a normalized color image of the input color image, calculating a motion color probability image, providing at least the grayscale image and the motion color probability image to a face detector, and executing face detection by determining a presence of a face based on first features in the grayscale image and second features in the motion color probability image.07-08-2010
20110044536PIXEL-LEVEL BASED MICRO-FEATURE EXTRACTION - Techniques are disclosed for extracting micro-features at a pixel-level based on characteristics of one or more images. Importantly, the extraction is unsupervised, i.e., performed independent of any training data that defines particular objects, allowing a behavior-recognition system to forgo a training phase and for object classification to proceed without being constrained by specific object definitions. A micro-feature extractor that does not require training data is adaptive and self-trains while performing the extraction. The extracted micro-features are represented as a micro-feature vector that may be input to a micro-classifier which groups objects into object type clusters based on the micro-feature vectors.02-24-2011
20110044538SOFT DECISION MAKING PROCESSES FOR ANALYZING IMAGES - A device may calculate a normalized value for each of a number of pixels in a frame of a video stream, by obtaining a first color from one of the pixels and a second color, by obtaining color components of the first color and the second color, by, for each of the color components, determining a distance between the first color and the second color, and by adding the distances of the color components to obtain the normalized value. In addition, the device may compute an accumulation of the normalized values, compare the accumulation to a threshold to determine whether a first image that includes the pixels matches a second image that includes the second color, and display a result of determining whether the first image matches the second image via a graphical user interface (GUI).02-24-2011
20110044537BACKGROUND MODEL FOR COMPLEX AND DYNAMIC SCENES - Techniques are disclosed for learning and modeling a background for a complex and/or dynamic scene over a period of observations without supervision. A background/foreground component of a computer vision engine may be configured to model a scene using an array of ART networks. The ART networks learn the regularity and periodicity of the scene by observing the scene over a period of time. Thus, the ART networks allow the computer vision engine to model complex and dynamic scene backgrounds in video.02-24-2011
20110116710System and method for detection of specularity in an image - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected region of the image file is specular, providing a classifier derived from a computer learning technique, computing a classification score for the selected region of the image file, as a function of the feature vector and the classifier and classifying the region as being specular, as a function of the classification score.05-19-2011
20110243433CLASSIFICATION AND ENCODER SELECTION BASED ON CONTENT - In various embodiments, methods and systems are disclosed for dynamic runtime implementation and end-to-end biased tuning of a two stage image classification system based on a decision function that uses network packet sizes and multiple image characteristics to determine the selection of an encoding codec to reduce overall network bandwidth consumption.10-06-2011
20100239161IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER READABLE MEDIUM - An image processing apparatus is provided, the apparatus including: a color extracting section that extracts colors contained in processing image data as a flat color or a characteristic color; a first evaluation value calculating section that calculates a flat color evaluation value with respect to a combination of flat colors based on a color difference, and that calculates a characteristic color evaluation value with respect to a combination of characteristic colors based on a color difference; a second evaluation value calculating section that calculates a combination evaluation value with respect to a combination of a characteristic color and a flat color based on a color difference; and a deleting section that reduces a number of colors to a preset number by deleting a color extracted by the color extracting section in accordance with the characteristic color evaluation value, flat color evaluation value and the combination evaluation value.09-23-2010
20110085728DETECTING NEAR DUPLICATE IMAGES - Near duplicate images are detected based on local structure feature matching of local features that are extracted from the images. The matching process also may involve detecting near duplicate images based on metadata features and global image features. A computation-sensitive cascaded classifier may be used together with an on-demand feature extraction to detect near duplicate images with improved efficiency and reduced computational cost.04-14-2011
20100014753SIGNAL PROCESSING SYSTEM AND COMPUTER READABLE MEDIUM FOR RECORDING SIGNAL PROCESSING PROGRAM - A base vector acquisition unit acquires a base vector based on spectral characteristics of a subject to be an identification object with spectral characteristics known, and a system spectral characteristics acquisition unit acquires a spectral characteristics of an image acquisition system including spectral characteristics concerning a color imaging system provided for image acquisition of subjects including the subject to be identification object, and spectral characteristics concerning illumination light used in image acquisition of subjects by the color imaging system. A calculation unit calculates weighting coefficient concerning the base vector for each wavelength area, from image signal composed of a plurality of color signals obtained in the color imaging system, the base vector and spectral characteristics of the image acquisition system. An output signal calculation unit calculates an output signal as identification result of the subject to be identification object based on the weighting coefficients.01-21-2010
20110249893Cross Device Image Recognition Improvement - A method includes modifying values of image data of a first image of an object, the first image taken by a user using a user equipment. The modifying is performed to map one or more color characteristics of one or more color components of the user equipment to corresponding one or more color characteristics for the one or more color components of a reference device. The modifying creates a modified image. On the user equipment, comparisons are performed between the modified image and a number of second images of objects taken by the reference device. Apparatus and program products are also disclosed. Additionally, a user interface is disclosed that provides for training a device model that is used during the mapping.10-13-2011
20110249892BLIND BLOCKING ARTIFACT MEASUREMENT APPROACHES FOR DIGITAL IMAGERY - Systems and methods of performing quantitative measurements of blocking artifacts in digital images and digital image sequences that are computationally efficient, and that employ no reference information in the measurement process. At least one normalized gradient image array is calculated, with reference to at least one specified gradient direction, from image pixel data contained in an image pixel array derived from a given digital image. The calculated results are accumulated into at least one profile array, and the data contained in the respective profile array is analyzed in the frequency domain to obtain a quantitative measurement of blockiness in the given digital image.10-13-2011
20110249891Ethnicity Classification Using Multiple Features - Frontal face images are classified into four categories such as Asian, Caucasian, African and others. A new representation of face appearance, named BITF (Block Intensity and Texture Feature), is employed as the discrimination feature. An ensemble of three component classifiers, each trained with a different number of BITF features as inputs, is designed to achieve a reliable classification. Further reliability is obtained by taking into consideration other secondary features to boost the classification performance.10-13-2011
20110081075SYSTEMS AND METHODS FOR INDEXING PRESENTATION VIDEOS - A system and method for identifying key frames of a presentation video that include stationary informational content. A sequence of frames is obtained from a presentation video and differences of pixel values between consecutive frames of the sequence of frames are computed. Sets of consecutive frames that are stationary are identified, wherein consecutive frames that are stationary have a proportion of changed pixel values below a first predetermined threshold, and wherein pixel values are deemed to be changed when the difference between the pixel values for corresponding pixels in consecutive frames exceeds a second predetermined threshold. Next, a set of key frames that include stationary informational content is retained. The set of key frames that include stationary informational content is then displayed for user interaction.04-07-2011
20110069882IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND COMPUTER-READABLE STORAGE MEDIUM FOR COMPUTER PROGRAM - A method is provided for extracting an edge included in a color image formed of first pixels expressed by color component values of three colors. The method includes: calculating a lightness value of the first pixel based on the color component values; determining which one of the low, medium, and high lightness regions, the calculate lightness value belongs to; generating an extraction image formed of second pixels corresponding to the first pixels; and extracting an edge based on the pixel value of the extraction image thus generated. For a first pixel whose lightness value belongs to the medium lightness region and the low or high lightness region, a pixel value is calculated from the color component values of three colors, and from the color component values excluding at least one color, respectively. Then, the edge is extracted based on the calculated pixel value of the extraction image.03-24-2011
20120201452LUMA-BASED COLOR MATCHING - Some embodiments provide a computer program for performing a color matching operation. The computer program identifies first and second images. Each image includes several pixels. Each pixel includes a luma component value. Based on analysis of the luma component values of the pixels of the first and second images, the computer program determines a set of transforms to modify pixel values of the first image so that the pixel values of the first image are similar to pixel values of the second image. The computer program applies the set of transforms to the first image such that the pixel values of the first image are similar to the pixel values of the second image.08-09-2012
20110150329METHOD OF AND SYSTEM FOR DETERMINING AN AVERAGE COLOUR VALUE FOR PIXELS - A method of and system for determining a number of pixels out of a plurality of pixels, which plurality of pixels forms an image strip, each pixel of the plurality of pixels having a specific colour component value is provided. The method involves determining a value of a first colour component of each pixel of the plurality of pixels, wherein the value corresponds to a first colour depth describable by a first number of bits, and binning the plurality of pixels into a second number of bins of a first histogram, wherein the second number is lower than a maximum value represented by the first number of bits, determining the number of entries in each bin of the first histogram and determining for each bin of the first histogram an average colour value of a second colour component of the pixels binned into the respective bin.06-23-2011
20110150328APPARATUS AND METHOD FOR BLOCKIING OBJECTIONABLE IMAGE ON BASIS OF MULTIMODAL AND MULTISCALE FEATURES - Provided are an apparatus and method for blocking an objectionable image on the basis of multimodal and multiscale features. The apparatus includes a multiscale feature analyzer for analyzing multimodal information extracted from image training data to generate multiscale objectionable and non-objectionable features, an objectionability classification model generator for compiling statistics on the generated objectionable and non-objectionable features and performing machine learning to generate multi-level objectionability classification models, an objectionability determiner for analyzing multimodal information extracted from image data input for objectionability determination to extract at least one of multiscale features of the input image, and comparing the extracted feature with at least one of the multi-level objectionability classification models to determine objectionability of the image, and an objectionable image blocker for blocking the input image when it is determined that the image is objectionable.06-23-2011
20110150327METHOD AND APPARATUS FOR MASKING PRIVACY AREA OF IMAGE - Disclosed are a method and apparatus for masking a privacy area of an image. The method for masking a privacy area of an image includes: detecting a privacy area required to be protected in an image; and performing masking on the image. An important area (a face area of a person, a number plate area of a vehicle, a window area of a house, etc.) detected from an image inputted through a CCTV camera can be effectively and easily encrypted, scrambled, decoded, and descrambled. Also, the position of the important area detected before or after the important area is scrambled can be maintained to be consistent without having to use a metadata file. In addition, a scrambling algorithm of the same key value can be applicable regardless of the size of the important area. As a result, the system efficiency can be enhanced by effectively protecting personal information compared with a CCTV-based video security system.06-23-2011
20100322511IMAGE PROCESSING FOR BINARIZATION OF IMAGE DATA - In order to carry out an image processing with high precision by using a simple structure, an image processing apparatus is provided with an input unit, a storage unit, a binarization unit, and a determination unit. The input unit inputs image data of an image. The storage unit stores a first condition on absolute positions of pixels in the image and a second condition on positions of pixels relative to a target pixel. The binarization unit binarizes the target pixel based upon a color data of the target pixel and that of at least one related pixel to the target pixel to generate a binarized value. The at least one related pixel in the image satisfies the first and second conditions. The determination unit determines whether or not the image has a specified pattern, based upon the binarized values.12-23-2010
20100310161DEVICE AND METHOD FOR IDENTIFICATION OF OBJECTS USING MORPHOLOGICAL CODING - A method and system for detecting in an image a repeating unit, where the unit includes a reference form and a set of elements at a known distance from and orientation to the reference form, deriving a value from the elements included in the unit, and comparing the derived value to a know value. The elements may indicate binary values that may be used in the derivation of the value, and the value may be associated with an object. The comparison of the value derived from the elements in the image with the stored value that is associated with the object may be used in identifying or confirming the identification of the object in the image.12-09-2010
20100260416IMAGE PROCESSING APPARATUS AND METHOD - This invention reduces the image data capacity by using PQR (spectral auxiliary coefficients) in addition to CIELAB (fundamental stimulus values). To accomplish this, there is provided an image processing apparatus which inputs image data representing an image, and performs an image process. The image data has a fundamental stimulus value and spectral auxiliary coefficient. The data amount of the fundamental stimulus value is constant regardless of the image area, and that of the spectral auxiliary coefficient changes in accordance with the image area.10-14-2010
20100260415IMAGE PROCESSING APPARATUS AND METHOD FOR CONTROLLING THE APPARATUS - An image processing apparatus and a method thereof for correcting image data in accordance with a feature of the image data, calculates a brightness component of image data and a color difference component of image data, determines whether the image data is a nightscape image or an underexposed image using the calculated brightness component and color difference component, and corrects the image data which has been determined as a nightscape image or an underexposed image.10-14-2010
20110211755METHOD AND APPARATUS FOR DETECTING PAGE BOUNDARIES - The present invention discloses a method and apparatus for detecting page boundaries which are capable of accurately detecting complete page boundaries and dealing with many kinds of complex conditions. The method comprises: an edge image detecting step for detecting an edge image from the book document image; a horizontal page boundary detecting step for detecting top page boundaries and bottom page boundaries on the edge image; a binding center line detecting step for detecting the binding center line by searching an intersection point of the left page and the right page on the top page boundaries and the bottom page boundaries; a page width determining step for determining the page width of the book document image; and a vertical page boundary determining step for determining the left page boundary and the right page boundary by using the top page boundaries, the bottom page boundaries, the binding center line and the page width.09-01-2011
20080247640Image Processing Device, Image Processing Method, and Recording Medium on Which the Program is Recorded - An image processing device, an image processing method, and a recording medium on which the program is recorded, which can accurately identify a plurality of regions included in an image by integrating the background difference method and the color detection method, are provided. First, background image data including only background region 10-09-2008
20090141973Method of pattern location using color image data - Machine vision tools are applied to color images using methods that that utilize an optimized spectrum of the color information. Such methods include full color normalized correlation techniques and methods to convert color images to greyscale using weighting factors that maximize color contrast in a corresponding greyscale image.06-04-2009
20090324069IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - An image processing device having an image processing unit configured to perform a first or a second image processing selectively for a target area of an image data is provided. The image processing device comprises a determining unit configured to determine an image processing selected from the first and second image processing and a detecting unit configured to detect a target area for an inputted image data. If it is determined that the first image processing is performed, the image processing unit performs the first image processing for the target area of the image data, based on photographing information added to the image data in advance. If it is determined that the second image processing is performed, the image processing unit performs the second image processing for the target area detected by the detecting unit.12-31-2009
20080304737IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - If a pixel of interest on a line of interest is located in an attribute region different from that in which a pixel immediately preceding the pixel of interest is located, the luminance value and color difference values of the pixel of interest are recorded in this order adjacent to data recorded in a data packet set for the line of interest (S12-11-2008
20080304736METHOD OF ESTIMATING A VISUAL EVALUATION VALUE OF SKIN BEAUTY - A method of estimating a visual evaluation value of beauty of a skin, and a device and a program for calculating a visual evaluation value of beauty of a skin are provided. Anybody can easily estimate a visual evaluation value of beauty of a skin objectively and quantitatively. A visual evaluation value of beauty of the skin is estimated by using a correlation between a visual evaluation value of beauty of the skin and a fractal dimension of a distribution of a color system signal of an image of the skin or a 3-dimensional skin surface relief value of a skin surface.12-11-2008
20080267493Color identifying apparatus and color identifying method - A color identifying apparatus for identifying the color of a reaction surface which has caused a color reaction with a gas to be specified, includes a reference data storage that stores a plurality of associated sets of reference color information represented by the difference between one and the remaining other two of signal intensities of R, G, B signals of RGB bitmap images of a reaction surface which has caused a color reaction with a gas, and identifying information for identifying the reaction surface, an image capturing unit for capturing a image of the reaction surface and generating RGB bitmap images of the reaction surface, an arithmetic unit for generating color information represented by the difference between one and the remaining other two signal intensities of R, G, B signals from the RGB bitmap images generated by the image capturing unit, checking the generated color information against the reference color information stored in the reference data storage, specifying the reference color information which corresponds to the generated color information, and specifying the identifying information which is related to the specified reference color information, and an output unit for outputting the identifying information specified by the arithmetic unit.10-30-2008
20110211754Tracking body parts by combined color image and depth processing - A method for image processing includes receiving a depth image of a scene containing a human subject and receiving a color image of the scene containing the human subject. A part of a body of the subject is identified in at least one of the images. A quality of both the depth image and the color image is evaluated, and responsively to the quality, one of the images is selected to be dominant in processing of the part of the body in the images. The identified part is localized in the dominant one of the images, while using supporting data from the other one of the images.09-01-2011
20100303349DIGITAL IMAGE PROCESSING AND SYSTEMS INCORPORATING THE SAME - In at least one embodiment, a spectrally mozaiced digital image is provided with missing color data imputed for each pixel. At least one embodiment of the present invention is related to circuitry configured to perform at least a portion of the calculations related to demosaicing a high dynamic range image.12-02-2010
20080205753Methods and Systems for Refining Text Detection in a Digital Image - Embodiments of the present invention comprise systems and methods for refining text-detection results for a digital image.08-28-2008
20080205754Color identifying apparatus and color identifying method - A color identifying apparatus for identifying the color of a reaction surface which has caused a color reaction with a gas to be specified includes a storage that, for every set of a plurality of referential color coordinates generated pixel by pixel from RGB bitmap images of a reaction surface which has caused a color reaction with a gas, stores pieces of reference data, which respectively represent both each coordinate on a chromaticity diagram and frequencies that depend on the numbers of the referential color coordinates corresponding to each one of the coordinates on the chromaticity diagram, and identification information for identifying the reaction surface; an image capturing unit that captures an image of the reaction surface and generates RGB bitmap images of the reaction surface; an arithmetic unit that generates a plurality of measured color coordinates pixel by pixel from the RGB bitmap images generated by the image capturing unit, generates measured data, which represents both each coordinate on the chromaticity diagram and frequencies that depend on the numbers of the measured color coordinates corresponding to each one of the coordinates on the chromaticity diagram, specifies one piece of the reference data which corresponds to the measured data by checking the measured data against each piece of the reference data, and specifies the identification information which is related to the identified piece of the reference data; and an output unit that outputs the identification information specified by the arithmetic unit.08-28-2008
20110164816IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - According to one aspect of the invention, an image processing apparatus comprises: a face detection unit configured to detect a face area of a person from an image; a head detection area setting unit configured to set a head detection area based on the detected face area of the person; an edge detection unit configured to detect an edge from the set head detection area, and generate an edge image which is comprised of the detected edge; an edge deletion unit configured to delete an edge existing between the face and hair from the edge image; and an ellipse detection unit configured to detect a candidate ellipse corresponding to a head area from an edge image from which an edge is deleted by the edge deletion unit.07-07-2011
20110164815METHOD, DEVICE AND SYSTEM FOR CONTENT BASED IMAGE CATEGORIZATION FIELD - A method and system for content based image categorization is provided. The method includes: identifying one or more regions of interest from a plurality of images, in which each image is associated with a category; extracting a plurality of pixels from the one or more regions of interest and determining a plurality of color values for the plurality of pixels; grouping the plurality of color values in a codebook corresponding to the respective category; indexing the plurality of pixels based on the plurality of color values; creating a classifier for the plurality of color values using a support vector machine.07-07-2011
20100284612FLASH DETECTION - A method of processing an image signal comprises: receiving an image signal comprising a series of frames, performing light source detection on each frame, and detecting a flash at frame n of length m frames when the following criteria are satisfied: the difference between the detected light source in frame n−1 and frame n is above a first predetermined threshold, the difference between the detected light source in frame n+m−1 and frame n+m is above the first predetermined threshold, and the difference between the detected light source in frame n−1 and frame n+m is below a second predetermined threshold.11-11-2010
20110058736IMAGE PROCESSING APPARATUS, METHOD, AND PROGRAM - An image processing apparatus includes a dividing unit configured to divide a target candidate image, which is assigned as a candidate of a target image, into blocks when a photo-mosaic image is generated by dividing the target image into the blocks and replacing each block with a raw image selected from multiple raw images; a block-class classification unit configured to place each block in the target candidate image into a class selected from multiple classes defined by a characteristic associated with color; a comparing unit configured to compare the number of blocks in the target candidate image in a class and the number of raw images in the same class; and a selecting unit configured to select a target candidate image among a multiple target candidate images to be assigned as the target image on the basis of comparison results of the target candidate images obtained by the comparing unit.03-10-2011
20110081076APPARATUS FOR AUTOMATICALLY DETERMINING COLOR/MONOCHROME OF DOCUMENT IMAGE, METHOD OF CONTROLLING SAME, PROGRAM OF SAME AND IMAGE PROCESSING APPARATUS WITH SAME - Performance of the auto selection processing depends greatly on performance of an image reading apparatus. Since an image processing parameter set by assuming the possible strictest condition is applied to all the image processing apparatuses of the same product kind without variation, there occurs an event that some of the image processing apparatuses do not sufficiently effect the performance of the image reading apparatus. An apparatus of setting a parameter used at the time an image processing apparatus determines whether an image data read by an image reading apparatus is a colored image or a monochrome image, to the image processing apparatus, comprises a unit configured to obtain a reading characteristic of the image reading apparatus, and a parameter setting unit configured to set the parameter corresponding to the obtained reading characteristic.04-07-2011
20100329552METHOD AND APPARATUS FOR GUIDING USER WITH SUITABLE COMPOSITION, AND DIGITAL PHOTOGRAPHING APPARATUS - A method for guiding a user with a suitable composition includes detecting scene information from an input image, recognizing a scene of the input image by using the detected scene information, extracting composition information corresponding to the recognized scene, and displaying the extracted composition information. Accordingly, an apparatus for guiding a user with a suitable composition and a digital photographing apparatus using the method displays a composition suitable for a current scene by automatically recognizing the current scene, so that the user photographs the current scene quickly and easily.12-30-2010
20100329551IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a region analysis unit configured to generate a quantized region by integrating regions that are included in an input multivalued image and have similar colors and to determine an attribute of a connected component included in the generated quantized region, and a character portion filling unit configured to determine a color used for filling a connected component that has been determined by the region analysis unit to have a character attribute and to execute processing for filling the connected component that has been determined to have the character attribute. In the image processing apparatus, the character portion filling unit is configured to change a method for determining the color used for filling based on the quantized region existing adjacent to the connected component determined to have the character attribute.12-30-2010
20100329550METHOD FOR AUTOMATICALLY CROPPING DIGITAL IMAGES - The present invention is a digital image manipulation system for automatically cropping acquired digital images, including a memory device configured to store at least one acquired digital image, a crop analysis segmentation subsystem configured to divide at least one image into a set of similarly colored regions, a classification subsystem configured to classify each region into one of a set of possible classes which include subject background and distraction at a minimum, an optimization search configured to search possible crop boundaries and a selection module configured to automatically select a highest rated crop boundary determined from the search and based on an optimization criterion that is derived from results of the crop analysis segmentation and classification subsystems.12-30-2010
20110135197Generating Agricultural Information Products Using Remote Sensing - A method for generating a raster file based on a plurality of primary index raster files that are associated with an area of interest (AOI) uses a computer coupled to a remote sensing device via a network. The method includes receiving a plurality of AOI raster files via the network, and generating the primary index raster files including a green biomass index (GBI) raster file and a pigmentation index (PGI) raster file. The method also includes generating a plurality of levels for each of the primary index raster files, generating a combination vegetation index (CVIPP) raster file based on a highest level of the GBI and PGI raster files, and generating a corn soybean map (CSM) raster file based on the CVIPP raster file. The method also includes storing the CSM raster file into the memory, and displaying a CSM report based on the CSM raster file.06-09-2011
20110135196Generating Agricultural Information Products Using Remote Sensing - A method for generating a supplementary index raster file based on a plurality of primary index raster files that are associated with an area of interest (AOI) uses a computer coupled to a remote sensing device via a network, wherein the computer includes an input device, a display, and a memory. The method includes generating the plurality of primary index raster files including at least two independent vegetation index (VI) raster files and a soil brightness index (SBI) raster file, wherein each primary index raster file includes a plurality of pixel values. The method also includes combining the at least two VI raster files to generate a classified soil brightness (CSB) raster file, classifying each pixel value of the CSB raster file into one of a plurality of classes, storing the CSB raster file into the memory, and displaying the CSB raster file.06-09-2011
20120148152IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, COMPUTER READABLE MEDIUM - An image processing apparatus includes a division-conversion unit and a composing unit. The division-conversion unit extracts data representing N pixels (N is an integer of two or greater) from image data, divides the extracted data into k (2≦k≦N) divided data elements such that at least one pixel is described in each of the k divided data elements, and converts each of the k divided data elements into a single piece of data by using a conversion table. The conversion table is provided in accordance with the number of pixels described in each of the k divided data elements and is used for converting the corresponding k divided data element into the single piece of data by performing conversion processing. The composing unit combines the single pieces of data so as to generate one-pixel output data which is reduced from the extracted N-pixel data with a reduction ratio of 1/N.06-14-2012
20120148153IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER-READABLE RECORDING DEVICE - An image processing apparatus to detect a bubble region included in image includes: a bubble candidate region setting unit which sets, from the image, a region as a bubble candidate region, the region having shape corresponding to a bubble region shape model stored in a storage unit; and a bubble region determination unit which determines, on the basis of information belonging to the bubble candidate region, whether the bubble candidate region is a bubble region.06-14-2012
20110044539INFORMATION PROCESSING DEVICE, COMPUTER READABLE MEDIUM STORING INFORMATION PROCESSING PROGRAM, AND INFORMATION PROCESSING METHOD - An information processing device includes: a document receiving unit that receives a document containing at least one page, wherein positions of document components of a page of the at least one page are fixed within the page; a page dividing unit that divides the document received by the document receiving unit into at least one page; a page heading determining unit that determines a heading of a page of the at least one page divided by the page dividing unit based on components included in the page; and a processing unit that assigns the heading determined by the page heading determining unit to the page divided by the page dividing unit as first level outline information of the page.02-24-2011
20110052051COLOR DETERMINING APPARATUS, IMAGE PROCESSING APPARATUS, COLOR DETERMINING METHOD AND COLOR DETERMINING PROGRAM - A color determining apparatus which determines whether an document is a color document or a monochrome document based on image data of the document including a plurality of pixel data, includes a pixel color determination part which performs color determination of pixels based on a luminance component value and a color component value of the pixel data; a pixel color re-determination part which set one of the pixels determined to be a color pixel by the pixel color determination part a target pixel in turn, and at a time when a plurality of filters having different outline shapes are applied to the target pixel, performs color re-determination of the target pixel according to whether all of the pixels included in the filter are determined to be color pixels or not by the pixel color determination part; and a first document color determination part that determines whether the document is color or monochrome by comparison of a number of the pixels determined to be color pixels by the pixel color re-determination part and a reference value set in advance.03-03-2011
20110052050IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE STORAGE MEDIUM - A feature vector computation section 03-03-2011
20110052049APPARATUS, METHOD AND ARTICLE FOR EVALUATING A STACK OF OBJECTS IN AN IMAGE - An object evaluation system may determine a value for a stack of objects that appear in a pixelated color image. To determine the value of the stack of objects, the evaluation system preprocess at least a portion of the pixelated color image to produce a set of two color contour data, processes the two color contour data to identify a location of a top and a bottom of the stack (if any), and locates, for each of the objects in the stack, a respective set of color pixels from the pixelated color image corresponding to each object based on the identified locations of the top and bottom of the stack. Each of the objects in the stack are then classified into a color classification based on the object's respective set of color pixels, and the value of the object is determined based on a known correspondence between the color classification and a value. The cumulative value of the stack is determined by summing the determined values for each of the objects in the stack.03-03-2011
20110052048IMAGE COLOR PROCESSING DEVICE AND METHOD THEREOF - An image color processing device adapted to process a luminance data and an input chrominance data of an image includes an edge detecting unit, a chrominance filtering unit, and a chrominance mixing unit. The edge detecting unit receives the luminance data and detects whether each pixel of the image is on an edge of an image object and correspondingly assigns an edge strength to each pixel. The chrominance filtering unit receives the input chrominance data and then outputs a filtered chrominance data. The chrominance mixing unit receives the edge strength, the filtered chrominance data and the input chrominance data, and mixes the filtered chrominance data and the input chrominance data by a weighting manner, according to the edge strength, so as to obtain an output chrominance data.03-03-2011
20100260417IMAGE PROCESSING APPARATUS AND CONTROL METHOD - An image processing apparatus includes a block background/foreground determination unit which determines, based on a block attribute and quantized color information, whether each connected area is a foreground or a background, a block background/foreground attribute determination unit which determines, based on the block attribute, the attribute of a connected area determined to be the foreground of the block and the attribute of a connected area determined to be the background of the block, and a block background/foreground attribute information recording unit which records and holds information of the attribute of the block and the attribute of each connected area.10-14-2010
20100158364AUTOMATIC AGE CLASSIFICATION OF FOREST LAND - A false color composite image is created by assigning mid infrared data from three time-spaced images of an area of interest to corresponding RGB color components for the false color composite image. The RGB color components for the false color composite image are then converted into color space data and classified into a number of color classes. An age is assigned to the color classes to create a classified image of age classes of the area of interest.06-24-2010
20100195904DISCRIMINATION APPARATUS, DISCRIMINATION METHOD AND PROGRAM RECORDING MEDIUM - A discrimination apparatus includes a separating unit configured to separate kinds (N being a natural number of 2 or greater) of color signals forming an image signal obtained by image acquisition of a subject with a color imaging system into kinds (M being a natural number of 1 or greater, M≦N) of wavelength ranges, based on known spectral characteristics of a subject to be discriminated, at least one of the separated wavelength ranges including a plurality of color signals. The discrimination apparatus further includes a noise estimating unit configured to estimate a noise amount in each predetermined unit area in each of the wavelength ranges separated by the separating unit, and a noise reducing unit configured to perform a noise reducing processing on each of the wavelength ranges separated by the separating unit, based on the noise amount estimated by the noise estimating unit. The discrimination apparatus further includes a discriminating unit configured to perform a discriminating processing on the subject to be discriminated, based on the color signals in the wavelength ranges noise-reduced by the noise reducing unit.08-05-2010
20100067787IMAGE PROCESSING APPARATUS - Provided is an image processing apparatus configured to preferentially extract an image with high user satisfaction when multiple images are automatically extracted from an image group. A user specifies the number of images to be extracted from the image group. The image group is classified into a first image group with high user satisfaction and a second image group with low user satisfaction. When the number of images extracted from the first image group does not reach the specified number, an image having only a dissatisfaction factor acceptable to the user is additionally extracted.03-18-2010
20100067786IDENTIFYING INTRINSIC PIXEL COLORS IN A REGION OF UNCERTAIN PIXELS - A digital image that includes first and second regions is processed. An intrinsic color of a given pixel located in an area of interest that is adjacent to at least one of the first and second regions is estimated by extrapolating from colors of multiple pixels in one of the first and second regions and multiple pixels in the other of the two regions.03-18-2010
20100067785IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS AND COMPUTER READABLE MEDIUM - An image processing apparatus has a read image acquisition section and a specific image region extraction section. The read image acquisition section acquires read image data which is obtained by reading a front face and a rear face of a document. The specific image region extraction section extracts, as a specific image region, from among local regions existing at corresponding positions of the front face and the rear face of the read image data, a local region in which an amount of difference of at least one of hue degree, brightness degree or saturation degree between the front face and the rear face is within a predetermined range.03-18-2010
20110188746BULK IMAGE GATHERING SYSTEM AND METHOD - A system and method for gathering bulk images are provided herein.08-04-2011
20110188745IMAGE PROCESSING APPARATUS AND PROCESSING METHOD OF THE IMAGE PROCESSING APPARATUS - A table structure in a specific area of a document is analyzed, and cells included in a table are determined as a processing unit to generate processing instruction information for instructing a process for the determined processing unit.08-04-2011
20100027880Image-data-distribution-model updating apparatus, image processing apparatus, image -data-distribution-model updating method, and computer program - An image-data-distribution-model updating apparatus includes: a determining unit that determines, concerning image data continuous in time series, to which of plural distribution models indicating an average of signal levels for each of plural color components, variance of a signal level distribution of all the plural color components, and reliability of all the plural color components the target image data belongs; and an updating unit that updates the average, the variance, and the reliability of a distribution model having the highest reliability among the distribution models to which it is determined that the target image data belongs and updates the reliability of the other distribution models.02-04-2010
20100158363SYSTEM AND METHOD TO DETECT SKIN COLOR IN AN IMAGE - In a particular embodiment, a method is disclosed that includes performing a first test using a first pixel value of a pixel to determine whether the pixel is outside a skin color region of a color space. The method includes, when the first test does not identify the pixel as outside the skin color region, performing a second test using a second pixel value of the pixel to determine whether the pixel is outside the skin color region of the color space. The method further includes, when the second test does not identify the pixel as outside the skin color region, performing a third test using a third pixel value of the pixel to determine whether the pixel is outside the skin color region of the color space.06-24-2010
20120121172In-Image Accessibility Indication - Methods and systems for in-image accessibility indication are described herein. These methods and systems are usable to receive an image being designed, locate colorblind inaccessible regions of the image based on located colorblind inaccessible points, and indicate the located colorblind inaccessible regions in the image to a designer while the designer is creating the image. As such, the designer is able to quickly identify regions of the designed image that may be difficult for colorblind viewers to see and, with this information, the designer is able to modify the image accordingly.05-17-2012
20120308127CHARACTER RECOGNITION METHOD, CHARACTER RECOGNITION APPARATUS, AND CHARACTER RECOGNITION PROGRAM - A gradation distribution of an image character is analyzed, the character color of the image character is analyzed, a gradation ratio between a turning point of a character stroke and the character stroke other than the turning point is analyzed, contrast at an edge of the character stroke is analyzed, the vertical size and center position of the image character are analyzed, the character size of the image character and pitch are analyzed, the first to sixth scores that quantify the respective analysis results are aggregated to discriminate whether the image character is handwritten or printed, and the recognition target item is checked to determine whether it includes both handwritten and printed characters. This makes it possible to enhance accuracy of handwritten-printed character discrimination, which leads to reducing a processing time for character recognition and enhancing accuracy of the character recognition.12-06-2012
20120308126CORRESPONDING IMAGE PROCESSING METHOD FOR COMPENSATING COLOUR - A corresponding image processing method is provided. The corresponding image processing method includes a first step for searching for a corresponding point of a corresponding image; a second step for performing radiometric calibration such that a camera response function of the corresponding image has a linear function; a third step for compensating for a color of the corresponding image by calculating a color conversion matrix; and a fourth step for measuring similarity of the corresponding image.12-06-2012
20080285848METHOD FOR IDENTIFYING COLOR IN MACHINE AND COMPUTER VISION APPLICATIONS - A method for identifying color in a target creates a ratio color space by determining the largest color component value of each pixel in an image and creating a ratio of all of the color component value with the largest component value for each pixel. The ratio for the color component of each pixel undergoes a threshold test to identify each color component as a rich shade or a fade shade. The ratio space color components are converted to a black and white image. Color information of adjacent pixels are clumped together to form blobs of the same color. The blobs are filtered by shape, color, location, or orientation and sorted to find targets that consist of a predefined pattern with the desired characteristics.11-20-2008
20110116711LOCALITY-CONSTRAINED LINEAR CODING SYSTEMS AND METHODS FOR IMAGE CLASSIFICATION - Systems and methods are disclosed for classifying an input image by detecting one or more feature points on the input image; extracting one or more descriptors from each feature point; applying a codebook to quantize each descriptor and generate code from each descriptor; applying spatial pyramid matching to generate histograms; and concatenating histograms from all sub-regions to generate a final representation of the image for classification.05-19-2011
20100166303OBJECT RECOGNITION USING GLOBAL SIMILARITY-BASED CLASSIFIER - In some embodiments, object recognition using global similarity-based classifier is presented. In this regard, an apparatus is introduced comprising: a camera, a display, and a processor, the processor to: receive an image from the camera, convert the image to a numerical representation, compute a similarity function between the converted image and a plurality of prototype image representations, and classify the output of the similarity function to identify the image. Other embodiments are also disclosed and claimed.07-01-2010
20110142335Image Comparison System and Method - An image comparison system includes a memory unit that stores data representative of target apparel images that depict apparel items. An image processing unit is provided to process a query apparel image to extract data representative of a query apparel item depicted in the query apparel image. The image processing unit determines weighted color and pattern differences between the target apparel images and the query apparel image.06-16-2011
20110305388IMAGE PROCESSING METHOD, AND IMAGE PROCESSING DEVICE - The image processing device includes: a specular reflection detector (12-15-2011
20110305387METHOD AND SYSTEM FOR PREPROCESSING AN IMAGE FOR OPTICAL CHARACTER RECOGNITION - A method and system for preprocessing an image for Optical Character Recognition (OCR), wherein the image includes a plurality of columns is disclosed. Each column includes one or more of Arabic text and non-text items. The method includes determining a plurality of components associated with one or more of the Arabic text and the non-text items, wherein a component includes a set of connected pixels. On determining the plurality of components, a line height and a column spacing is determined for the plurality of components. The plurality of components are then associated with a column of the plurality of columns based on the line height and the column spacing. Subsequently, a set of characteristic parameters are calculated for each column and the plurality of components of each column are merged based on the set of characteristic parameters to form sub-words and words.12-15-2011
20100322510Sky detection system used in image extraction device and method using sky detection system - Disclosed is a sky detection system that detects sky in an image collection device. The system includes an image collection unit that collects information of a color image; a color-feature extraction unit that extracts a color feature of each pixel from the collected image; a distance measurement unit that measures a distance between each pixel of the collected image and a lens; a first classification unit that classifies each pixel of the collected image as either a sky pixel or a non-sky pixel based on the color feature; and a second classification unit that further classifies each pixel of the collected image as either the sky pixel or the non-sky pixel based on the distance and a result of the first classification unit.12-23-2010
20120099786ELECTRONIC SYSTEMS AND METHODS FOR REPAIRING SCAR IMAGES - A method for repairing scar images is provided, in which a facial region of an image is detected, a first average skin tone value is subtracted from an original pixel value of at least one pixel to generate a first mask value, the first mask value is divided by a constant to generate a first modified mask value; and the first modified mask value is added to the first average skin tone value to generate a first pixel value to serve as a compensated scar pixel value of the pixel.04-26-2012
20120099785USING NEAR-DUPLICATE VIDEO FRAMES TO ANALYZE, CLASSIFY, TRACK, AND VISUALIZE EVOLUTION AND FITNESS OF VIDEOS - A system and method for analyzing video include segmenting video stored in computer readable storage media into keyframes. Near-duplicate keyframes are represented as a sequence of indices. The near-duplicate keyframes are rendered in a graphical representation to determine relationships between video content.04-26-2012
20110064304ELECTRONIC DOCUMENT COMPARISON SYSTEM AND METHOD - An electronic document comparison system and method removes cachets and noise from a test electronic document. The system and method further compares each of second minimum blocks with a corresponding first minimum block in a standard electronic document line by line, and obtains the second minimum blocks having different coordinates on each line. Furthermore, the system and method simplifies the obtained second minimum blocks having different coordinates by filtering designated objects, and marks the simplified second minimum blocks in the test electronic document.03-17-2011
20110064305IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER READABLE MEDIUM - An image processing apparatus includes an image receiving section, a succession value image generating section and a solid converting section. The image receiving section receives an image contains a line having breaks. The succession value image generating section generates a succession value image having as a pixel value the number of times of succession of black or white pixels in the image received by the image receiving section. The solid-line converting section, based on the succession value image generated by the succession value image generating section, performs solid-line conversion in which the line having breaks is changed into a solid line.03-17-2011
20110317911COLOR ROLLING DETECTION METHOD AND DETECTION DEVICE - The present invention discloses a color rolling detection method and detection device for an input image, which can detect a phenomenon of color rolling in the image rapidly, efficiently and at a low cost. The detection method includes the steps of: an extracting step for extracting parameter values indicative of the color or brightness of the image in a detection time period T12-29-2011
20120045122Image Processing Device, Method, and Program - A device for processing an input image may include a degree-of-symmetry calculation unit, which may be configured to receive the input image and calculate a degree of symmetry of the input image. The device may also include a parting line detection unit, which may be configured to receive the input image and detect a parting line that separates two sides of the input image. Additionally, the device may include a classification unit, which may be configured to classify the input image based on the degree of symmetry and the parting line. The classification unit may also be configured to generate a classification signal to cause at least one of display or storage of the classification.02-23-2012
20120002872Image Capture and Identification System and Process - A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.01-05-2012
20120008860IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - An image processing apparatus includes a low-luminance area detecting unit that detects a low-luminance area based on pixel values of pixels of the intraluminal image; a peripheral feature data calculating unit that calculates peripheral feature data based on pixel values of periphery of the low-luminance area; and a dark portion area determining unit that determines whether or not the low-luminance area is the dark portion area based on the peripheral feature data.01-12-2012
20120008859Reducing Erroneous Colors in Edge Areas with Chromatic Abberation - A technique is disclosed for calculating a value for a second color for a particular pixel. The technique selects a first set of neighboring pixels situated on a first side of the particular pixel, and a second set of neighboring pixels situated on an opposite side of the particular pixel. Based upon color values from the first set of neighboring pixels, the technique determines a first representative relationship, and based upon color values from the second set of neighboring pixels, the technique determines a second representative relationship. Based upon these representative relationships, the technique determines a target relationship between the value for the second color for the particular pixel and a value for a first color for the particular pixel. Based upon the target relationship and the value for the first color for the particular pixel, the technique calculates the value for the second color for the particular pixel.01-12-2012
20120014594METHOD FOR TONE MAPPING AN IMAGE - A method for tone mapping a digital image comprised of a plurality of high bit depth intensity values in linear space is disclosed. First, a plurality of liner intensity values are mapped from the linear space to a non-linear space (01-19-2012
20120014593System And Method For Automatic Color Matching In A Multi-Display System Using Sensor Feedback Control - A system for automatic color matching of multiple displays in a multi-display system. A sensor observes the output energy of each of the displays in a multi-display system and measures the difference in the color responses for a given input color. This difference is used to derive a modification function that is applied to each display. The displays are modified accordingly, and then the color is displayed again. This process is repeated until the measured values from each of the displays are within a minimum measurement error tolerance, so that the differences in displayed colors observed among the displays are minimized.01-19-2012
20120014592SUBJECT DETERMINATION METHOD, COMPUTER PROGRAM PRODUCT FOR DETERMINING SUBJECT, AND CAMERA - A photographic subject determination method includes: a binarization step of creating a plurality of binarized images of a subject image, based upon color information or luminance information in the subject image; an evaluation value calculation step of, for each of the plurality of binarized images, calculating an evaluation value that is used for specifying at least one of a position, a size, and a shape of a photographic subject within the subject image; and a photographic subject specification step of specifying at least one of the position, the size, and the shape of a photographic subject within the subject image, based upon the evaluation value.01-19-2012
20120057783IMAGE PROCESSING APPARATUS, METHOD, AND PROGRAM - An image processing apparatus includes a feature vector extraction unit that extracts feature vectors of sample pixels, for each local region including the sample pixels, in an input image; a weight calculation unit that calculates weights for the local regions on the basis of the positional relationship with the local regions, for divided regions that divide the input image; a feature distribution model calculation unit that calculates an average with weights as a feature distribution model in a local region obtained by adding the weights calculated from the local regions to the feature vectors of the local regions, for each of the divided regions; and a pixel likelihood calculation unit that calculates pixel likelihood for each pixel in the input image on the basis of the feature distribution model.03-08-2012
20120057782Method and apparatus for testing water quality using a cell-phone application, mirror and plastic bag - The present disclosure teaches a practical method and apparatus for providing accurate, economic drinking water testing using materials available worldwide: a mirror 03-08-2012
20120063679METHOD FOR DETECTING PIXEL OUTLIERS - A method for identifying singleton outlier pixels in a selected color space in a digital image including a plurality of pixels, includes for each 3×3 patch of pixels in the image, calculating the diameter of the 3×3 patch of pixels. For each pixel in the patch, the distance to its nearest neighbor pixel within the patch is computed, as measured in the selected color space. The computed distance from each pixel in the patch is compared to its nearest neighbor with a threshold that is a preselected fraction of the diameter. A center pixel in the patch is identified as an outlier pixel if its calculated distance to its nearest neighbor is the largest distance to a nearest neighbor and exceeds the threshold.03-15-2012
20120027294METHOD FOR FORMING A COMPOSITE IMAGE - A method for displaying a group of digital images using a background corresponding to an image region selected from one of the digital images, comprising: receiving a designation of the group of digital images to be displayed; using a processor to automatically analyze the group of digital images to select an image region from one of the digital images that is appropriate to use as a background for a composite image, wherein the selected image region includes a plurality of image pixels; forming a background from the selected image region; forming the composite image including the background and at least one digital image from the group of digital images; and displaying the composite image.02-02-2012
20120301021METHOD AND SYSTEM FOR CLASSIFYING IMAGE ELEMENTS - A method, system, and machine-readable medium for classifying an image element as one of a plurality of categories, including assigning the image element based on a ratio between an unoccluded perimeter of the image element and an occluded perimeter of the image element and coding the image element according to a coding scheme associated with the category to which the image element is classified. Exemplary applications include image compression, where categories include image foreground and background layers.11-29-2012
20120301020METHOD FOR PRE-PROCESSING AN IMAGE IN FACIAL RECOGNITION SYSTEM - A method preprocessing scheme that improves classification accuracy of a face recognition system comprises identifying a plurality of edges of an image. The method further comprises step of identifying a plurality of discontinuities in the plurality of edges of the image. Furthermore, the method also comprises generating contiguous outline for the image. The last step of the method comprises filling a background of the image with at least one color.11-29-2012
20120250987System and method for effectively performing an image identification procedure - A system and method for effectively performing an image identification procedure includes an image matching manager that derives source characteristics for a source image and target characteristics for target images. The image matching manager compares the source characteristics and the target characteristics to determine whether the source image matches any of the target images. The source characteristics and the target characteristics may include color-space characteristics and curve-space characteristics from the respective images. A processor of an electronic device typically controls the image matching manager to effectively perform the image identification procedure.10-04-2012
20120063678GEOMETRIC IMAGE COMPRESSION - An exemplary geometric image compression method includes identifying an image having a plurality of pixels, and iteratively obtaining largest geometric shapes by using corresponding reference points until all pixels of the image are processed. Each geometric shape includes at least a substantial portion of pixels with color values corresponding to a color value of a corresponding reference point. The method further includes generating, for each obtained geometric shape, identifying information including data indicative of a color value of the corresponding reference point or the average of the color values of at least the substantial portion of pixels within the geometric shape, data indicative of a location of the geometric shape, and data indicative of a size of the geometric shape, and storing compressed image data comprising identifying information of each obtained geometric shape.03-15-2012
20120155757SYSTEM AND METHOD FOR FACE DETECTION USING FACE REGION LOCATION AND SIZE PREDICTIONS AND COMPUTER PROGRAM PRODUCT THEREOF - In one exemplary embodiment, a face detection method implemented in a computer system estimates location and size of face candidate regions for an input image, which includes image regionalization, region labeling and feature capturing, distance transform, and face location and size estimation, to predict at least a face location and size range for the input image. According to the at least a predicted face location and size range, the method further performs an adaptive face detection until a predicted face region is verified.06-21-2012
20100172580PATTERN RECOGNITION APPARATUS, PATTERN RECOGNITION METHOD, IMAGE PROCESSING APPARATUS, AND IMAGE PROCESSING METHOD - A task of the present invention is that even when a plurality of images exists in which the positions or sizes of character patterns indicating the identical object are different from each other, they can be treated as character patterns indicating the identical object. An image and supplementary information of the image, such as a photographing point and time, are input by an image input section (07-08-2010
20100172579Distinguishing Between Faces and Non-Faces - Methods, systems, and apparatus, including computer program products, for evaluating image data. In one aspect, a method includes accessing an image that includes a candidate face, such as a face detected during a face detection operation. The method further includes generating a sharpness measure based on image data corresponding to the candidate face, evaluating the sharpness measure to determine a confidence score representing a likelihood that the candidate face corresponds to a human face, and accepting the candidate face when the confidence score compares in a predetermined manner to a confidence threshold. Additionally, the method can be implemented to include generating a skin tone measure based on image data corresponding to the candidate face and evaluating the sharpness measure in combination with the skin tone measure to determine the confidence score.07-08-2010
20100172578DETECTING SKIN TONE IN IMAGES - One aspect of the subject matter described in this specification can be implemented in a method that includes sampling an image to generate a sample portion; evaluating pixels in the sample portion to determine whether the pixels correspond to skin tone colors; generating, based on the determination, a skin tone result indicating a confidence level that the received image includes a depiction of human skin; and providing the skin tone result to an image management application to indicate a likelihood the image depicts a human face.07-08-2010
20130170744OBJECT RECOGNITION METHOD, DESCRIPTOR GENERATING METHOD FOR OBJECT RECOGNITION, AND DESCRIPTOR FOR OBJECT RECOGNITION - An object recognition method, a descriptor generating method for object recognition, and a descriptor for object recognition capable of extracting feature points using the position relationship and color information relationship between points in a group that are sampled from an image of an object, and capable of recognizing the object using the feature points, the object recognition method including extracting feature components of a point cloud using the position information and the color information of the points that compose the point cloud of the three-dimensional (3D) image of an object, generating a descriptor configured to recognize the object using the extracted feature components; and performing the object recognition based on the descriptor.07-04-2013
20100092080SYSTEM AND METHOD FOR MAKING A CORRECTION TO A PLURALITY OF IMAGES - An image processing apparatus includes a feature amount recognition unit that recognizes a feature amount of each of plural pieces of image data, and a processing reference extraction unit that extracts a processing reference for image correction to be made to the plural pieces of image data from the feature amount recognized by the feature amount recognition unit.04-15-2010
20100092079TARGET AND METHOD OF DETECTING, IDENTIFYING, AND DETERMINING 3-D POSE OF THE TARGET - We disclose a photogrammetry target that includes a background having a first color and a plurality of ovoid regions located on the background and having a second color contrasting the first color. We further disclose a method and system for detecting the target and processing image data captured from the target to discern therefrom at least one of a distance to the target, identification of the target, or pose of the target.04-15-2010
20120121173IMAGE PROCESSING APPARATUS AND METHOD, AND PROGRAM - The present invention relates to an image processing apparatus and method, and a program that are capable of more easily identifying an area of a subject in an image.05-17-2012
20100246945IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER-READABLE MEDIUM - An image processing apparatus includes a plurality of compression units and a switching unit. The plurality of compression units compress image information by different compression methods. The switching unit extracts plural pieces of color information from pieces of color information which constitute the image information in a color space expressing the image information, and selects one of the plurality of compression units in accordance with hue angles of the plural pieces of extracted color information.09-30-2010
20100246944Using a video processing and text extraction method to identify video segments of interest - A video processing technique is performed on a video media service to identify video segments of interest. The video processing technique (09-30-2010
20120163713ERROR DIFFUSION PROCESSING CIRCUIT - An error diffusion processing circuit includes a memory having a predetermined size in which (P−1)×M dithering threshold matrices in a predetermined size for each of the quantization thresholds and color components are pre-stored, and a quantization threshold selector configured to select (P−1) matrices for the color component of the target pixel data from the dithering threshold matrices stored in the memory, and read an element from the elements of the selected matrices in accordance with a pixel position of the target pixel data in the image data for output as the (P−1) quantization thresholds. P is an integer of 2 or more and M is a positive integer. The data size of the dithering threshold matrices is set to be equal to or less than a value obtained by dividing a size of the memory by the number of dithering threshold matrices.06-28-2012
20120128242SYSTEM AND METHOD FOR DETECTING SCENE CHANGES IN A DIGITAL VIDEO STREAM - A system and method that processes video to extract a keyframe-based adequate visual representation is disclosed. Certain embodiments utilize a hierarchical processing technique. A first stage in the hierarchy extracts a chromatic difference metric from a pair of video frames. An initial set of frames is chosen based on the chromatic metric and a threshold. A structural difference measurement is extracted from this initial set of frames. A second threshold is used to select key frames from the initial set. The first and second thresholds can be user selectable. The output of this process is the visual representation. The method is extensible to any number of metrics and any number of levels.05-24-2012
20120128241SYSTEM AND METHOD FOR INDEXING OBJECT IN IMAGE - The present invention relates to a system for providing a supplementary service by identifying an object in an image and comprises: an image service server and a user terminal. The image service server provides image information and includes a database that manages metadata for the provision of the service. The user terminal dynamically generates control command information according to the information for the object selected in the image. In addition, the user terminal receives the information for the object selected in the image that is displayed on screen and transfers the information to the image service server. Furthermore, the user terminal receives from the image service server the preset supplementary service that corresponds to the information for the object selected.05-24-2012
20120128240SYSTEM AND METHOD OF PROVIDING PRODUCT INFORMATION USING PRODUCT IMAGES - A method and system for determining product information from a logo are disclosed. In one embodiment, an image of a logo may be captured by a portable image capture device. The captured image may be analyzed to recognize the logo. The product may then be identified based on the recognized logo.05-24-2012
20120163711IMAGE PROCESSING APPARATUS, METHOD AND PROGRAM - An image processing apparatus including a judgment unit that judges whether a continuous edge is detected or not in an image, and a preferential treatment unit that treats a predictive motion vector more preferentially than other motion vectors when the judgment unit judges that a continuous edge is detected.06-28-2012
20120163712IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM - Disclosed is an image processing apparatus including: an obtaining section which obtains a subject exiting image in which a subject and a background exist; a first specification section which specifies a plurality of image regions in the subject existing image; a comparison section which compares a representative color of each of the image regions with a predetermined color; a generation section which generates an extraction-use background color based on a comparison result of the comparison section; and a second specification section which specifies a subject constituent region constituting the subject and a background constituent region constituting the background in the subject existing image based on the extraction-use background color.06-28-2012
20120163710IMAGE RANKING BASED ON ABSTRACT CONCEPTS - A system and method for ranking images are provided. The method includes receiving a query comprising a semantic part and an abstract part, retrieving a set of images responsive to the semantic part of the query, and computing first scores for the retrieved images in the set of retrieved images. The first score of an image can be based on a relevance of that image to the semantic part of the query (and not to the abstract part of the query). The method further includes identifying a chromatic concept model from a set of chromatic concept models. This identification can be based on the abstract part of the query (and not on the semantic part of the query). The chromatic concept model includes an optionally-weighted set of colors expressed in a perceptually uniform color space. For retrieved images in the set of retrieved images, the method includes computing a chromatic image model based on colors of the image, the chromatic image model comprising a weighted set of colors expressed in the perceptually uniform color space and computing a comparison measure between the chromatic image model and the chromatic concept model. The retrieved images are scored with respective second scores that are based on the computed comparison measures. The retrieved images are ranked based on a combined score for a respective retrieved image which is a function of the first and second scores.06-28-2012
20100208988Method and system for image feature extraction - Image feature extraction includes extracting an cutout image that includes an object from an original image; filling borders of the cutout image with a single color as a background to generate a minimum square image; resizing the minimum square image into a resized square image having a first predetermined size; dividing the resized square image into sub-image blocks having a second predetermined size; computing luminosity derivatives of neighboring pixels in horizontal, vertical, positive 45° , and negative 45° directions for each of the sub-image blocks; obtaining a quintuplet characteristic vector for each of the sub-image block; and forming an image characteristic vector of the original image using the quintuplet characteristic vectors of all the sub-image blocks.08-19-2010
20100208987METHOD AND SYSTEM FOR FOREGROUND DETECTION USING MULTI-MODALITY FUSION GRAPH CUT - A method for foreground detection using multi-modality fusion graph cut includes the following steps. A video frame of a video sequence is inputted. A foreground region in the video frame is designated using adaptive background Gaussian Mixture Model and a threshold value. The foreground region is segmented using a multi-modality fusion graph cut procedure. A computer program product using the method and a system for foreground detection using multi-modality fusion graph cut are also disclosed herein.08-19-2010
20110182509Image Preprocessing - A method performed by a software process executing on a computer system includes selecting a first set of pixels in a digital image in the RGB color space. The pixels are selected such that, for each pixel in the set, a red component is a highest value component and a blue component is a lowest value component. The method also includes identifying at least a subset of the first set as a region of orange hue in the digital image.07-28-2011
20120134583METHODS AND APPARATUS FOR AUTOMATED TRUE OBJECT-BASED IMAGE ANALYSIS AND RETRIEVAL - An automated and extensible system is provided for the analysis and retrieval of images based on region-of-interest (ROI) analysis of one or more true objects depicted by an image. The system uses an ROI database that is a relational or analytical database containing searchable vectors representing images stored in a repository. Entries in the ROI database are created by an image locator and ROI classifier that locate images within the repository and extract relevant information to be stored in the ROI database. The ROI classifier analyzes objects in an image to arrive at actual features of the true object. Graphical searches may also be performed.05-31-2012
20120134582System and Method for Multimodal Detection of Unknown Substances Including Explosives - A system and method for identifying an unknown substance in a sample comprising multiple entities. A method may comprise generating a RGB image representative of a sample and assessing said RGB image to identify at least one region of interest. This region of interest may he assessed to generate a spatially accurate wavelength resolved image, which may be a hyperspectral image. This spatially accurate wavelength resolved image may comprise a fluorescence, Raman, near infrared, short wave infrared, mid wave infrared and/or long wave infrared image. This spatially accurate wavelength resolved image may be assessed to identify said unknown substance. A system may comprise: a reference database, a first detector for generating an RGB image, a second detector for generating a spatially accurate wavelength resolved image, and a means for assessing said RGB image and said spatially accurate wavelength resolved image.05-31-2012
20120170838Color Similarity Sorting for Video Forensics Search - Systems and methods of sorting electronic color images of objects are provided. One method includes receiving an input representation of an object, the representation including pixels defined in a first color space, converting the input image into a second color space, determining a query feature vector including multiple parameters associated with color of the input representation, the query feature vector parameters including at least a first parameter of the first color space and at least a first parameter of the second color space and comparing the query feature vector to multiple candidate feature vectors. Each candidate feature vector includes multiple parameters associated with color of multiple stored candidate images, the candidate feature vector parameters including at least the first parameter from the first color space and at least the first parameter from the second color space. The method further includes determining at least one of the candidate images to be a possible match to the desired object based on the comparison.07-05-2012
20120170839Night-Scene Light Source Detecting Device And Night-Scene Light Source Detecting Method - A night-scene light source detecting device includes a pixel value obtaining unit configured to obtain a pixel value of each pixel in an input image; a night-scene-feature extraction unit provided for extracting a zone area of a mean corrected-brightness value and a high corrected-brightness value of the input image as two night-scene features based on the pixel value of each pixel in the input image; a night-scene image detection unit provided for determining whether the input image is a night-scene image or not based on the two night-scene features; a specific color detection unit provided for detecting whether each pixel belongs to specific color or not; and a night-scene light source determining unit provided for determining whether the night-scene image is picked up under irradiation by the specific light sources in a night scene or not based on the result of the specific color detection.07-05-2012
20120076402Rich Color Transition Curve Tracking Method - A method of finding targets in a color image applies ratio space rich colored filtering to identify a band of pixels that form a transition zone from one rich color to another. This pixel band is reduced to a rich color transition curve. A set of transition curves with simple geometric and color properties for the entire image, can be compared to a database of target properties to identify a target in an image.03-29-2012
20120177288IMAGE-PROCESSING METHOD FOR CORRECTING A TARGET IMAGE WITH RESPECT TO A REFERENCE IMAGE, AND CORRESPONDING IMAGE-PROCESSING DEVICE - An automatic image-processing method for applying a mask onto a target image includes the following steps: a) obtaining a target image, in particular an image of a face; b) for at least one area of the target image, identifying the reference points corresponding to at least the points that make it possible to define a typical case of spatial imperfection; c) for at least that area, applying at least one test for detecting spatial imperfection by comparing the target image with a reference image; d) according to the spatial imperfection detected, identifying a spatial correction mask to be applied to the area of the image including said imperfection; and e) applying the mask onto the pertinent area of the target image. An image-processing system also is provided.07-12-2012
20120177287Analytical Motion Blur Rasterization With Compression - A rasterizer, based on time-dependent edge equations, computes analytical visibility in order to render accurate motion blur. An oracle-based compression algorithm for the time intervals lowers the frame buffer requirements. High quality motion blurred scenes can be rendered using a rasterizer with rather low memory requirements. The resulting images may contain motion blur for both opaque and transparent objects.07-12-2012
20120250989ELECTRONIC APPARATUS AND CHARACTER STRING RECOGNIZING METHOD - An electronic apparatus includes a character detector, a feature detector, a character string combiner, and a controller. The character detector detects a first character candidate and a second character candidate from an image. The feature detector detects first feature data and second feature data, the first and second feature data including at least character size, color, or line width of the first and second character candidate. The character string combiner combines the first and second character candidates to form a character string when a degree of coincidence between the first and second feature data at least satisfies a threshold coincidence value. The controller detects a portion of the character string indicative of an attribute and activates a function corresponding to the attribute.10-04-2012
20100008569SYSTEM AND METHOD FOR IDENTIFYING TEXT-BASED SPAM IN RASTERIZED IMAGES - A system, method and computer program product for identifying spam in an image, including (a) identifying a plurality of contours in the image, the contours corresponding to probable symbols; (b) ignoring contours that are too small or too large; (c) identifying text lines in the image, based on the remaining contours; (d) parsing the text lines into words; (e) ignoring words that are too short or too long from the identified text lines; (f) ignoring text lines that are too short; (g) verifying that the image contains text by comparing a number of pixels of a symbol color within remaining contours to a total number of pixels of the symbol color in the image, and that there is at least one text line after filtration; and (h) if the image contains text, rendering a spam/no spam verdict based on a contour representation of the text that which appears after step (f).01-14-2010
20120224768SYSTEM AND METHOD FOR VISUAL SEARCH - Systems and methods for visual search enable input of a digital image to retrieve images that complement the input image. A digital image is uploaded to a website or input into an application. This may be done from a mobile device having a digital camera. The digital image is analyzed and indexed according to its attributes, such as coloration, saturation, light, complexity, and presence of shapes or objects. Search criteria are structured according to the analyzed image and the indexed image is used as an input in a search of images in a database. Systems and methods enable searching for home décor items that complement an input image and enable inputting an image of one type of item (e.g., a piece of furniture) and finding items of another type (e.g., artwork) that complement the item in the input image.09-06-2012
20120263378MANUALLY-ASSISTED DETECTION OF REDEYE ARTIFACTS - A machine-implemented method of processing an input image includes receiving user input that manually identifies a location in the input image that corresponds to a potential redeye artifact. A set of detected redeye artifacts in the input image is received. One of the detected redeye artifacts that is closest to the manually identified location is identified. The identified detected redeye artifact is stored in a list of redeye artifacts that are identified with manual assistance if the identified detected redeye artifact is within a threshold distance from the manually identified location.10-18-2012
20120257822IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - An image processing apparatus includes a calculating unit, an edge-position detecting unit, an identifying unit, and a subject-region detecting unit. For each color separation image, the calculating unit calculates a gradient direction of an edge gradient and an edge intensity at each position on the basis of a color captured image. The edge-position detecting unit detects edge positions in each color separation image on the basis of the gradient directions of the edge gradients and the edge intensities. For each position, the identifying unit identifies the gradient direction of the edge gradient and the edge intensity at the position in one of the plural color separation images that includes the largest edge intensity at the position. The subject-region detecting unit detects a subject region on the basis of the detected edge positions, the identified gradient directions of the edge gradients, and the identified edge intensities.10-11-2012
20120189197DEVICE, SYSTEM, AND METHOD FOR INDEXING DIGITAL IMAGE FRAMES - Methods and apparatus are disclosed to index digital frames. An example method includes identifying channel types associated with a plurality of image frames, splitting each one of the plurality of image frames into a respective color channel based on the identified channel types, applying a local binary pattern to each of the respective color channels to generate a respective pattern number, generating a spatial representation of each respective pattern number to determine transition probabilities for each channel type, and identifying a degree of similarity between the plurality of image frames based on the transition probabilities.07-26-2012
20120082378 METHOD AND APPARATUS FOR SELECTING A REPRESENTATIVE IMAGE - A method of selecting at least one representative image from a plurality of images, the method comprising the steps of: dividing (04-05-2012
20120082377RECOGNIZING A FEATURE OF AN IMAGE INDEPENDENTLY OF THE ORIENTATION OR SCALE OF THE IMAGE - One embodiment of the present invention provides a system for recognizing a feature of an image independently of the orientation or scale of the image. During operation, the system receives an image. Next, the system identifies a feature within the image. The system then performs a principal component analysis (PCA) operation on the feature to determine an orientation of a primary component of the feature and a secondary component of the feature, wherein the PCA operation is performed while source data for the image is retained. Finally, the system recognizes the feature by analyzing the primary component of the feature and the secondary component of the feature.04-05-2012
20120230583OBJECT REGION EXTRACTION DEVICE, OBJECT REGION EXTRACTION METHOD, AND COMPUTER-READABLE MEDIUM - An object region extraction device according to an exemplary aspect of the invention includes: similar region calculation means 09-13-2012
20100254600METHOD FOR DOMINANT COLOR SETTING OF VIDEO REGION AND DATA STRUCTURE AND METHOD OF CONFIDENCE MEASURE EXTRACTION - A method for a dominant color setting of a video region and a data structure and a method of a confidence measure extraction are disclosed. The video region dominant color setting method is characterized in that a region dominant color descriptor is expressed by the number of dominant colors with respect to a certain region, a dominant color expressed, a frequency that the dominant color appears, and an accuracy of a color value representing the region in a region dominant color based on various region dominant color extraction methods, for thereby expressing a region dominant color using a plurality of colors with respect to a region dominant color value and a confidence value of a region dominant color information based on various region dominant color feature extracting methods.10-07-2010
20100254599METHOD FOR DOMINANT COLOR SETTING OF VIDEO REGION AND DATA STRUCTURE AND METHOD OF CONFIDENCE MEASURE EXTRACTION - A method for a dominant color setting of a video region and a data structure and a method of a confidence measure extraction are disclosed. The video region dominant color setting method is characterized in that a region dominant color descriptor is expressed by the number of dominant colors with respect to a certain region, a dominant color expressed, a frequency that the dominant color appears, and an accuracy of a color value representing the region in a region dominant color based on various region dominant color extraction methods, for thereby expressing a region dominant color using a plurality of colors with respect to a region dominant color value and a confidence value of a region dominant color information based on various region dominant color feature extracting methods.10-07-2010
20110002535Non-product image identification - An image recognition technique includes obtaining color characteristic values of pixels in a source image; determining a main color of the source image based at least in part on the color characteristic values; and determining whether the source image is a non-product image based at least in part on the main color of the source image.01-06-2011
20120093403SEARCH SYSTEM USING IMAGES - A search system using images is provided in which when a user does not know a relevant URL or search keyword correctly while surfing the Internet, he or she can search a desired website using only an image. The search system using images according to the present invention comprises an image search server and a user terminal. The image search system comprises: an image conversion section for converting the image included in the website information and the to-be-searched image uploaded by the user into search format images; an image search section for comparing eigen values of both the to-be-searched image uploaded by the user and the search image included in the website information and detecting the website information having a matching eigen value; and a storage section for storing the detected website information, the image included in the website information, and information regarding eigen values.04-19-2012
20120093402IMAGE PROCESSING - An electronic image processor (04-19-2012
20120093401IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE MEDIUM - An apparatus comprises: a contour extraction unit configured to extract contours of color regions, each of which includes continuous pixels having the same pixel value, in image data; an intersection detection unit configured to detect, as an intersection, a point in each of contours extracted by the contour extraction unit; a division boundary line storage unit configured to store, in association with a contour in which the intersection is detected by the intersection detection unit, contours divided at the intersection as boundary lines; a non-division boundary line storage unit configured to store, in association with a contour in which the intersection is not detected by the intersection detection unit, the contour as a boundary line without dividing the contour; a function approximation unit configured to execute function approximation for each of boundary lines stored by the division boundary line storage unit and the non-division boundary line storage unit.04-19-2012
20120321181NEAR-DUPLICATE VIDEO RETRIEVAL - A similarity of a first video to a second video may be identified automatically. Images are received from the videos, and divided into sub-images. The sub-images are evaluated based on a feature common to each of the sub-images. Binary representations of the images may be created based on the evaluation of the sub-images. A similarity of the first video to the second video may be determined based on a number of occurrences of a binary representation in the first video and the second video.12-20-2012
20110235905IMAGE PROCESSING APPARATUS AND METHOD, AND PROGRAM - The present invention relates to an image processing apparatus and method, and a program that are capable of displaying images more easily and effectively.09-29-2011
20120321180USE OF AN OBJECT DATABASE IN AN IMAGE PROCESS - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, providing an object database including a list of objects that appear in the image, and information on material reflectance color values for each object and generating intrinsic images corresponding to the image as a function of the information on material reflectance color values for each object.12-20-2012
20110243432Determining the Scale of Images - Systems, methods, apparatus, and computer program products are provided for determining the scale of an image. In one embodiment, an image is received for analysis. The image may include a token with (a) a known height, (b) a known width, and (c) a known color value based on a color model. Pixels that are within a predetermined threshold of the known color value of the image are identified. After identifying the pixels, a cluster of pixels that substantially includes the token is identified. With the known size of the token and the pixels in the token identified, the scale of the image can be determined.10-06-2011
20120087580VISION IMAGE INFORMATION STORAGE SYSTEM AND METHOD THEREOF, AND RECORDING MEDIUM HAVING RECORDED PROGRAM FOR IMPLEMENTING METHOD - The present invention relates to a system for generating a vision image from the viewpoint of an agent in an augmented reality environment, a method thereof, and a recording medium in which a program for implementing the method is recorded. The invention provides a vision image information storage system comprising: a vision image generator which extracts visual objects from an augmented reality environment based on a predetermined agent, and generates a vision image from the viewpoint of the agent; and an information storage unit which evaluates the objects included in the generated vision image based on a predetermined purpose, and stores information on the evaluated objects.04-12-2012
20120281914DETECTION AND SUPPRESSION OF FLICKER IN A SEQUENCE OF IMAGES - The invention relates to a method, device and computer-program product for detection of undesired temporal variations (flicker) in a sequence of video frames. In one embodiment, frame-wise luminance means are compared with a reference level and the crossing frequency is compared with expected variation frequencies, such as frequencies associated with an illumination frequency through aliasing. The crossings count can be refined by introducing a latency zone around the reference level. In case of a positive detection of an undesired temporal variation, there is further provided a correction method, device and computer-program product using cumulated distribution functions. The visual detriment of flicker-induced saturation of pixels is alleviated either by brightening non-saturated pixels or by replacing the saturated pixels by randomly sampled values in accordance with a reference cumulated distribution function. The invention provides embodiments suitable for real-time processing of streamed video sequences.11-08-2012
20110293176DETECTION APPARATUS, DETECTION METHOD, AND COMPUTER PROGRAM - An apparatus for detecting a cut change based on a similarity between a first image and a second image, includes a unit for generating one of a luminance histogram and a color histogram of each of the first image and the second image, a unit for generating a spatial correlation image representing a correlation between spatial layouts of the first image and the second image, a unit for calculating a histogram similarity representing a similarity between the histogram of the first image and the histogram of the second image, a unit for calculating a spatial correlation image similarity representing a similarity between the spatial correlation image of the first image and the spatial correlation image of the second image, and a unit for determining whether a border between the first image and the second image is a cut change based on the histogram similarity and the spatial correlation image similarity.12-01-2011
20120328190SYSTEM AND METHOD FOR INTELLIGENTLY DETERMINING IMAGE CAPTURE TIMES FOR IMAGE APPLICATIONS - A method for organizing images from multiple image capture devices includes automatically determining a coarse offset between image capture times recorded in a first image capture device and image capture times recorded in a second image capture device. The coarse offset is determined by a computing a correlation between image counts of images captured by the first image capture device and images captured by the first image capture device. The method also includes adjusting the image capture times of images recorded in the second image capture device by the coarse offset to produce adjusted image capture times for images captured by the second image capture device.12-27-2012
20120328189Method for Identifying Pairs of Derivative and Original Images - The invention provides for a computer-implemented method for detecting one or more archive images matching a search image, each matching archive image being a derivative of the search image or being an original image the search image was derived from accessing a plurality of the archive images. For each of said archive images, a respective archive image histogram may be calculated, wherein each archive image histogram includes a plurality of combination micro-feature values. The archive image histogram may be stored to a database.12-27-2012
20120328188METHOD AND APPARATUS FOR DETECTING AND COMPENSATING FOR BACKLIGHT FRAME - A method and apparatus for detecting and compensating for a backlight frame are provided. The method includes receiving data regarding a current frame comprising pixels that are expressed by a luminance component and one or more chrominance components; and determining whether the current frame is a backlight frame based on values of the one or more chrominance components of the pixels.12-27-2012
20120288190Image Reflow at Word Boundaries - Described is a method for identifying text or other information in one or more images and reflowing images of individual elements of text at a word boundary or character boundary on devices of different sizes. The text may be rescaled while retaining the look and feel of the original text. The size may be scaled according to one or more parameters. Text may be captured in a plurality of images and merged together to form a single document or document-like collection. Text may be fully recognized, indexed, sorted and/or be made searchable. Text may be wrapped around objects and features identified as non-text or non-informational elements in an image. Borders or edges between successive elements of text may be smoothed, combined, overlapped and/or blended. Backgrounds of text may be adjusted to make the appearance of successive elements aesthetically pleasing or as close to the original as possible. Fonts may be automatically generated for display of the text on any device in its original form—with breaks in the text at a word or other natural language boundary not found in the original representation of the text.11-15-2012
20120288191ENVIRONMENT RECOGNITION DEVICE AND ENVIRONMENT RECOGNITION METHOD - There are provided an environment recognition device and an environment recognition method. The device obtains luminances of a target portion in a detection area, assigns a color identifier to the target portion according to the luminances thereof based on an association, retained in a data retaining unit, between a color identifier and a luminance range, groups target portions, of which position differences in the width and height directions are within a predetermined range and to which one or more color identifiers corresponding to a same specific object are assigned, into a target object, based on a association, retained in the unit, between a specific object and the color identifier; and determines an outer edge specified by the target portions to which the color identifiers are assigned according to whether or not the detection area is in the environment where light is diffused, as the outer edge of the target object.11-15-2012
20100202686IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND PROGRAM - A clustering unit calculates, for clusters in a descending order of the number of pixels belonging thereto, a distance from a feature vector of a processing object pixel and a representative feature vector of an object cluster, and compares the distance with a first threshold. The processing object pixel is stored in a memory or the like as a pixel belonging to an object cluster when the distance is judged to be less than or equal to the first threshold.08-12-2010
20100172577RED EYE DETECTING APPARATUS, RED EYE DETECTING METHOD AND RED EYE DETECTING PROGRAM - There is provided a red eye detecting apparatus including a red eye region designating section that causes a user to designate a red eye region in an image so as to obtain a designated red eye region, a red eye searching region determining section that determines a red eye searching region including therein the designated red eye region which is obtained by the red eye region designating section, a red eye candidate detecting section that searches for red eye within the red eye searching region which is determined by the red eye searching region determining section, to detect one or more red eye candidates, a face position detecting section that detects one of a position of a face and a position of an area of the face other than eyes within the red eye searching region which is determined by the red eye searching region determining section, and a red eye position judging section that selects, from the red eye candidates detected by the red eye candidate detecting section, a red eye candidate that is positioned at a predetermined position with respect to the position detected by the face position detecting section, as a red eye candidate to be subjected to a red eye correcting process.07-08-2010
20130011056COLOR NAMING, COLOR CATEGORIZATION AND DESCRIBING COLOR COMPOSITION OF IMAGES - The invention provides methods, systems and apparatus for assigning color names to individual image pixels, and generating verbal description of color composition in images, suitable for a wide variety of information processing applications. For an isolated image pixel (individual color sample or color value) an illustrative embodiment of this invention uses a predetermined vocabulary of color names, and then generates a distance measure describing the best color match and corresponding color name for the given pixel. For the input image, an illustrative embodiment of this invention computes the simplified representation of the scene, consistent with human perception, and uses the predetermined vocabulary, syntax rules and metric to assign color names to all perceptually significant objects and regions and obtain the verbal description of the overall color composition. The invention is also applicable to other types of information signals, such as sequences of video frames, web pages, etc.01-10-2013
20130011057Hough Transform Method for Linear Ribbon and Circular Ring Detection in the Gradient Domain - A method for converting a portion of an image from a first domain to a second domain. The method may apply a Hough transform on the converted portion of the image, including calculating a range of angles for each tested pixel q relative to a center pixel p, quantizing the range of angles into a plurality of bins, voting each tested pixel q using a range of bins using a weighted voting schema; and detecting one or more features in the portion of the image. The methods may be implemented by program instructions executing in parallel on CPU(s) or GPUs.01-10-2013
20130011055Parallel Processing Method and Apparatus for Determining Text Information from an Image - A method for processing a multi-channel image is disclosed. The method includes generating a plurality of grayscale images from the multi-channel image. At least one text region is identified in the plurality of grayscale images and text region information is determined from the at least one text region. The method generates text information of the multi-channel image based on the text region information. If the at least one text region includes a plurality of text regions, text region information from the plurality of text regions is merged to generate the text information. The plurality of the grayscale images is processed in parallel. In identifying the at least one text region, at least one candidate text region may be identified in the plurality of grayscale images and the at least one text region may be identified in the identified candidate text region.01-10-2013
20130016903COLOR SELECTION AND/OR MATCHING IN A COLOR IMAGE - A method or computer program product for color selection in a color image, including operations or instructions for selecting a base color in a base color portion of a color image; computing a perceptual color difference between the base color and a respective second color in the color image; comparing the perceptual color difference to a tolerance; and, identifying whether the color difference satisfies the tolerance.01-17-2013
20110158519Methods for Image Characterization and Image Search - Methods for image characterization image search are provided in the invention. An input image comprising a plurality of pixels is provided. The image is converted into Hue Saturation Value (HSV) model, each pixel comprises a hue level, a saturation level and a brightness level. Characteristics of the input image are then calculated based on the hue level, saturation level and the brightness level.06-30-2011
20110158518METHOD OF DETECTING AN OBJECT USING A CAMERA - A method of detecting an object using a camera is provided. The method includes dividing image data including the object into pre-established areas and creating a detection window for each area; calculating a histogram for each created detection window; determining, for each one of the detection windows, weights for each pixel located within the one of the detection windows according to a determined similarity between a pre-stored histogram corresponding to the object the object and the histogram corresponding to the one of the detection windows; moving each of the detection windows in a direction corresponding to the determined weights according to an average movement, such that the detection windows converge towards the object; and selecting, from among the detection windows, a detection window having a histogram with maximum similarity to the pre-stored histogram corresponding to the object from the detection windows converging to the object.06-30-2011
20110158517IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE MEDIUM - An image processing apparatus comprises an attribute determination unit that divides image data into a plurality of blocks each having a predetermined number of pixels and determines an attribute of each of the divided blocks that indicates whether or not the block includes a character; a connected area extraction unit that extracts a connected area in which pixels having the same pixel characteristic are connected sequentially, from each of the divided blocks; and a foreground/background determination unit that selects a foreground/background determination method to be used for a processing target block, based on the attribute of the processing target block, the attribute of a first adjacent block that is adjacent to the processing target block, and the extracted connected areas, and determines whether a connected area of the processing target block among the extracted connected areas is the foreground or the background, using the selected foreground/background determination method.06-30-2011
20110158516IMAGE CLASSIFICATION METHODS AND SYSTEMS - Image classification methods and systems are provided. First, an image is obtained using a computer. The image is then processed using the computer to obtain image information. The image information includes one or any combination of an average color difference between at least one average channel value of pixels in at least one boundary region of the image and a predefined standard value, a gradient variation magnitude difference between at least two regions of the image, and a percentage of the edges of the image to the image. The image is classified using the computer according to the image information.06-30-2011
20130022264SYSTEM AND PROCESS FOR AUTOMATICALLY FINDING OBJECTS OF A SPECIFIC COLOR - A computer implemented method, system and computer program product for identifying the Main Colors and the matching colors of a visual object, and then viewing on a mobile device select items comprising the matching colors, such as from a merchant's catalogue. A visual object is analyzed for color content, and the results are stored on a system database located on the device or on a remote server. The color analysis of the objects comprise advanced image processing techniques, such as Main Color extraction using color space transformation comprising HSV, RGB and CYMK to map between pixels in the image. The user can subsequently view a display on their mobile identifying the visual object's Main Colors and at least one Harmonic Color; and then select and view all items (i.e. products in a database) comprising one Harmonic Color, and/or all items of a specific type and Harmonic Color.01-24-2013
20120243780Red-Eye Removal Using Multiple Recognition Channels - This disclosure pertains to apparatuses, methods, and computer readable media for red-eye removal techniques using multiple recognition channels. In the following examples, red, golden, and white recognition channels are used. A recognition channel is the monochrome extraction from a color photograph in a manner designed to make one kind of red-eye artifact glow with maximum contrast. Once the red-eye artifact has been characterized by, e.g., size and location, the techniques disclosed herein may then discern whether the red-eye artifact is, for example, a red-, golden-, or white-eye case by examining the configuration and characteristics of prominence bitmasks created for the various recognition channels. Once the type of red-eye case has been discerned, the techniques disclosed herein may then replace the artifact with a photographically reasonable result based on the type of red-eye case being repaired. Specular reflection may also be re-added to the photograph.09-27-2012
20080253648FOOD PRODUCT CHECKING SYSTEM AND METHOD FOR IDENTIFYING AND GRADING FOOD PRODUCTS - A food product checking system for at least one of identification and grading of food products packed in a tray is provided, comprising a tray positioning area, an illumination device for illuminating the food product with white light, at least one camera for taking images of the illuminated food product, and an evaluation device for image processing of taken images, wherein the evaluation device is adapted to perform a color analysis of taken images.10-16-2008
20090148039COLOUR DOCUMENT LAYOUT ANALYSIS WITH MULTI-LEVEL DECOMPOSITION - Disclosed is a method of classifying segmented contents of a scanned image of a document. The method comprise partitioning the scanned image into colour segmented tiles at pixel level. The method then generates superpositioned segmented contents, each segmented content representing related colour segments in at least one colour segmented tile. Statistics are then calculated for each segmented content using pixel level statistics from each of the tile colour segments included in segmented content, and then determines a classification for each segmented content based on the calculated statistics. The segmented content may be macroregions. The macroregions may form part of a multi-layered document representation of the document. Each of a plurality of tiles of predetermined size of the image are converted into a representation having a plurality of layers, the representation corresponding to at least one said tiles comprising multiple coloured layers, each tile comprising a superposition of the corresponding coloured layers. For each of the coloured layers, merging is performed with adjacent ones of the tiles, thereby generating a multi-layered document representation.06-11-2009
20080232684IMAGE PROCESSING APPARATUS AND COMPUTER-READABLE RECORDING MEDIUM WHICH RECORDS IMAGE PROCESSING PROGRAM - An image processer has an extractor to extract a character area from color image data. A color-difference-value acquirer acquires information about color-difference values in the character area. A color-saturation-value acquirer acquires information about color saturation in the character area. A color-difference-subrange storage stores pre-defined color-difference subranges. A chromatic-region determination section determines the character area as gray when color salutation values fail to satisfy a condition for a chromatic color, and determines the character area as a chromatic region when color saturation values in the character area satisfy the condition. A first color-difference-subrange assignment section assigns a stored color-difference subrange to the character area determined as the chromatic region based on information about color-difference values. A representative-color setup section sets color information about the character area determined as chromatic by using an average of the color-difference values in the color-difference subrange assigned to the character area.09-25-2008
20130177239SILHOUETTE CORRECTION METHOD AND SYSTEM AND SILHOUETTE EXTRACTION METHOD AND SYSTEM - A method and system for correcting a silhouette of a person extracted from an image by labeling each pixel as the person or the background are disclosed. The pixels in a target region are corrected by: a step in which, by the use of pixels in the target region labeled as the person, a person histogram is created; a step in which, by the use of pixels in the target region labeled as the background, a background histogram is created; a step in which, for each pixel in the target region, by the use of the person histogram, the background histogram and color data of each pixel in the target region, first connective costs of the pixel to the color data of the person and the background are calculated; and a step in which, for each pixel in the target region, a second connective cost of the pixel is calculated.07-11-2013
20130170745IMAGE QUALITY EVALUATION DEVICE, TERMINAL DEVICE, IMAGE QUALITY EVALUATION SYSTEM, IMAGE QUALITY EVALUATION METHOD AND COMPUTER-READABLE RECORDING MEDIUM FOR STORING PROGRAMS - The present invention evaluates the quality of an image shot by a terminal device in a state closer to that seen with the eye. A computer evaluates the quality of an image obtained by shooting a photographic subject including a periodic pattern that fluctuates periodically in one direction. A Fourier transform unit accomplishes a two-dimensional Fourier transform on the image to obtain two-dimensional spatial frequency spectrum components. An analysis unit analyzes the resolution of the image on the basis of spectrum components of spatial frequencies included in the periodic pattern, among the two-dimensional spatial frequency spectrum components obtained by the Fourier transform unit, and analyzes the deterioration of the image on the basis of spectrum components other than these.07-04-2013
20130170746RECOVERING A PRUNED VERSION OF A PICTURE IN A VIDEO SEQUENCE FOR EXAMPLE-BASED DATA PRUNING USING INTRA-FRAME PATCH SIMILARITY - Method and apparatus for recovering a pruned version of a picture in a video sequence are disclosed. The apparatus includes a divider for dividing the pruned version of the picture into a plurality of non-overlapping blocks. The apparatus also includes a metadata decoder for decoding metadata for use in recovering the pruned version of the picture. The apparatus further includes a patch library creator for creating a patch library from a reconstructed version of the picture. The patch library includes a plurality of high resolution replacement patches for replacing the one or more pruned blocks during a recovery of the pruned version of the picture. The apparatus additionally includes a search and replacement device for performing a searching process using the metadata to find a corresponding patch for a respective one of the one or more pruned blocks from among the plurality of non-overlapping blocks and replace the respective one of the one or more pruned blocks with the corresponding patch. The signature is respectively created for each of the one or more pruned blocks, and the pruned version of the picture is recovered by comparing respective distance metrics from signatures for each of the plurality of high resolution patches to signatures for each of the one or more pruned blocks, sorting the respective distance metrics to obtain a rank list for each of the one or more pruned blocks, wherein a rank number in the rank list for a particular one of the one or more pruned blocks is used to retrieve a corresponding one of the plurality of high resolution patches in the patch library to be used to replace the particular one of the one or more pruned blocks. A patch dependency graph having a plurality of nodes and a plurality of edges is used to recover the pruned version of the picture. Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks, and each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.07-04-2013
20130170747METHOD FOR CHECKING AN OPTICAL SECURITY FEATURE OF A VALUE DOCUMENT - A method for checking a prescribed optical security feature on a prescribed portion of a value document based on pixel data of pixels of an image of the portion which are associated with places on the portion and render optical properties of the value document at the places. A check is made of whether a first number of those pixels whose pixel data, according to a first prescribed criterion, lie within a first reference region prescribed for the security feature exceeds a first minimum hit value prescribed for the security feature, and whether a first scatter of the pixel data of the pixels exceeds a first minimum scatter value prescribed for the security feature. An authenticity signal is formed which represents an indication of authenticity only when the first number exceeds the first minimum hit value, and the scatter the first minimum scatter value.07-04-2013
20110274348IMAGE PROCESSING - Embodiments of the present invention relate to image processing an enhancement relative to the colour emotion domain. In one embodiment, an image processor comprises an input (11-10-2011
20110274347METHOD OF DETECTING RED EYE IMAGE AND APPARATUS THEREOF - A redeye image detection method for detecting at least one redeye image in an input image includes: deriving an edge detection result by performing an edge detection process to detect an edge characteristic of the input image; deriving a red pixel detection result by performing a red pixel detection process to detect red pixels in the input image, and utilizing a determining circuit to derive a preliminary detection result according to the edge detection result and the red pixel detection result, and derive the redeye image according to the preliminary detection result.11-10-2011
20120250988ADAPTIVE CONTRAST ADJUSTMENT TECHNIQUES - Techniques are disclosed involving contrast adjustment for images. For example, an input image is classified based on its pixel value characteristics, as expressed in an input brightness histogram. From such a classification, a target histogram distribution for a corresponding output image (i.e., a contrast-adjusted transformation of the input image) may be specified. With the target histogram of the output image specified, a transformation function may be derived that maps input image values to output image values. Moreover, transitions of such transformation functions may be smoothed. Such smoothing may provide advantages, such as a reduction in flickering associated with video data.10-04-2012
20130094757Dot templates for object detection in images - Dot templates are used for detecting objects within images. A computer-implemented method is performed for each of a number of dot templates corresponding to the object to be detected within an image. Each dot template is defined as a collection of points. At each position within the image, a value of the image is determined at each point of the dot template. The dot template is effectively overlaid at the given position within the image. A score of the dot template at this position is determined, based on the values of the image determined at the points of the dot template. Where the score is greater than a predetermined threshold, it can be concluded that the object is at least potentially located within the image at the position in question at which the dot template has been effectively overlaid.04-18-2013
20130101211TARGET LOCATION DETERMINATION DEVICE - Provided is a target location determination device that is able to accurately recognize a color pattern as well as reducing the calculation load, even when using a color camera and a color target. The target location determination device is provided with a grayscaling profile storage portion that stores a grayscaling profile according to which the luminance difference between a first monochrome color converted from a first color and a second monochrome color converted from a second color of a target is greater than the luminance difference between the first color and the second color, and a grayscaling portion that converts color image data into grayscale image data using the grayscaling profile.04-25-2013
20130101210AUTO-CROPPING - A method for auto-cropping includes, creating a saliency map corresponding to a digital image, the saliency map indicating a relevance of pixels within the digital image with saliency values within a number range, a lower end of the number range being less than zero and an upper end of the number range being greater than zero. The method further includes, analyzing the saliency map to find a potential cropping rectangle, the potential cropping rectangle having a maximum sum of saliency values within borders of the rectangle.04-25-2013
20130121571SYSTEM AND METHOD FOR SEARCH PORTIONS OF OBJECTS IN IMAGES AND FEATURES THEREOF - Embodiments enable searching of portions of objects in images, including programmatically analyzing each image in a collection in order to determine image data that, for individual images in the collection, represents one or more visual characteristics of a portion of an object shown in that image. A user is enabled to specify one or more search criteria that includes image data, and a search result may be determined based on one or more images in the collection that show a corresponding object that has a portion that satisfies a threshold. The threshold is defined at least in part by the one or more search criteria.05-16-2013
20130129207Method for Pan-Sharpening Panchromatic and Multispectral Images Using Dictionaries - A single panchromatic (Pan) image and a single multispectral (MS) image are Pan-sharpened by extracting features from the Pan image and the MS image. The features are decomposed into features without missing values and features with missing values. A dictionary is learned from the features without missing values. The values for the features with the missing values are learned using the dictionary. The MS image is merged with the Pan image including the predicted values into a merged image, and the merged image is then Pan sharpened.05-23-2013
20130129208COLOR ANALYTICS FOR A DIGITAL IMAGE - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, determining intrinsic component information as a function of spatio-spectral information for the image, and calculating analytical information, as a function of the intrinsic component information.05-23-2013
20130142427CLASSIFICATION AND ENCODER SELECTION BASED ON CONTENT - In various embodiments, methods and systems are disclosed for dynamic runtime implementation and end-to-end biased tuning of a two stage image classification system based on a decision function that uses network packet sizes and multiple image characteristics to determine the selection of an encoding codec to reduce overall network bandwidth consumption.06-06-2013
20100278422IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, IMAGE EXTENDING APPARATUS, IMAGE COMPRESSING APPARATUS, IMAGE TRANSMITTING SYSTEM, AND STORAGE MEDIUM - Even when an enlarged image is deteriorated due to a block noise or color mixture, the contour in the enlarged image is sharpened and a quality of the image is improved. A contour extracting unit 11-04-2010
20110243434FEATURE VALUE EXTRACTING DEVICE, OBJECT IDENTIFICATION DEVICE, AND FEATURE VALUE EXTRACTING METHOD - A feature calculation unit (10-06-2011
20110235906IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM FOR COMPUTER PROGRAM - An image processing apparatus includes a storage that stores, therein, edge position data indicating the position of a first edge image that represents a first edge of a first object image representing an object in a first image, a determination portion that detects a second edge image based on the edge position data and a specific scaling factor, the second edge image representing a second edge of a second object image that represents the object in a second image, the second image being obtained by modifying the size or the resolution of the first image by increasing the number of pixels by α times (α>1) corresponding to the scaling factor, the second edge having a width equal to that of the first edge, and a removal portion that performs a process for deleting an edge of an inner area surrounded by the second edge image.09-29-2011
20130148883IMAGE COMPARISON USING COLOR HISTOGRAMS - Methods, apparatus and articles of manufacture for image comparison using color histograms are disclosed. An example method disclosed herein to compare a first image and a second image comprises obtaining a first color histogram for a first set of pixels sampled from the first image, obtaining a second color histogram for a second set of pixels sampled from the second image, determining a comparison metric based on differences between bin values of the first color histogram and adjusted bin values of the second color histogram, and determining whether the first image and the second image match based on the comparison metric.06-13-2013
20130148885METHOD AND SYSTEM FOR DETERMINING COLOUR FROM AN IMAGE - Embodiments of the invention relate to the determination of the colour of a colour sample from an image of the colour sample. In one embodiment a colour sample capture card is provided having printed thereon colour samples of known colour (for example, XYZ tri-stimulus values). An image of the test colour sample is then captured using domestically available equipment, such as a consumer digital camera or camera-equipped mobile telephone, the image also containing the colour sample capture card. In one embodiment the image is then transmitted to a remote colour determination service for colour sample colour determination. Regression analysis is then performed using the RGB colour samples in the image and known XYZ colours thereof to characterise the colour capture response of the image capture device. Having characterised the image capture device the XYZ colour of the unknown colour sample can be determined from the RGB colour thereof in the image. A clustering algorithm is employed to identify if there is more than one colour in the unknown colour sample.06-13-2013
20130148886IMAGE COMPRESSION APPARATUS, IMAGE COMPRESSION METHOD, AND STORAGE MEDIUM - An image compression apparatus determines a first reduction ratio according to an available memory capacity and reduces a multivalued image by the determined first reduction ratio to generate a first reduced multivalued image, and extracts a representative color of a character region from the first reduced multivalued image. The image compression apparatus reduces the first reduced multivalued image to generate a second reduced multivalued image, and compresses the second reduced multivalued image to generate a first compressed code. The image compression apparatus compresses a partial binary image corresponding to the character region to generate a second compressed code. Then, the image compression apparatus outputs compressed data including the first compressed code, the second compressed code, positional information about the character region, and information about the representative color of the character region.06-13-2013
20130148887Image Preprocessing - A method performed by a software process executing on a computer system includes selecting a first set of pixels in a digital image in the RGB color space. The pixels are selected such that, for each pixel in the set, a red component is a highest value component and a blue component is a lowest value component. The method also includes identifying at least a subset of the first set as a region of orange hue in the digital image.06-13-2013
20130148884VIDEO COMPARISON USING COLOR HISTOGRAMS - Methods, apparatus and articles of manufacture for video comparison using color histograms are disclosed. An example method disclosed herein to compare a first video and a second video comprises obtaining a first color histogram corresponding to a sequence of frames of the first video, obtaining a second color histogram corresponding to a sequence of frames of the second video, determining a first comparison metric based on differences between bin values of the first color histogram and adjusted bin values of the second color histogram, and determining whether the first video and the second video match based on the first comparison metric.06-13-2013
20120275695SYSTEM AND METHOD FOR IDENTIFYING AND CLASSIFYING COLOR REGIONS FROM A DIGITAL IMAGE - A system and method of identifying and classifying regions of a digital image. The method includes an initial step of inputting an image as a color digital image. Subsequently, information that identifies color regions of the color digital image is obtained. Finally, color and non-color regions of the color digital image are classified based upon the identifying information.11-01-2012
20100284611IMAGE SENSOR AND IMAGE SENSING METHOD FOR CHARACTER RECOGNITION - A system for recognizing a text image in an image photographed by an image sensor as characters, searching the characters in an electronic dictionary, and displaying a search result on a window. The image sensor includes a photographing section configured to photograph an image; a determination section configured to determine the photographed image as at least one of a text image region and a non-text image region; and a conversion section configured to convert information of the determined text image region into binary information.11-11-2010
20100316290Method and system for near-duplicate image searching - Image processing includes receiving a plurality of images to be grouped; dividing the plurality of images into a plurality of groups wherein the images in the same group share the same main color; receiving a given image; searching among the plurality of groups for a result group having the same main color as the main color of the given image; extracting a plurality of image features of the given image and the images in the result-group; comparing the image features of the given image with the image features of each image in the result group; and identifying a near-duplicate image from the result group that meets a preset near-duplicate image determining condition.12-16-2010
20100316289IMAGE PROCESSING METHOD AND IMAGE PROCESSING SYSTEM - An image processing method and an image processing system adapted to processing image information with multiple process pixels are disclosed. The image processing method includes steps of: setting a group of parameters; establishing a luminance lookup table; establishing a chrominance-luminance lookup table; retrieving the image information; determining a format of the image information; and if the format of the image is a first format, utilizing the chrominance-luminance lookup table to generate an adjusted chrominance and a first adjusted luminance corresponding to one of the process pixels; if the format of the image is a second format, utilizing the chrominance-luminance lookup table and the luminance lookup table to generate an adjusted chrominance, a first adjusted luminance, and a second adjusted luminance corresponding to one of the process pixels.12-16-2010
20130156307SYSTEMS AND METHODS FOR EFFICIENTLY AND ACCURATELY DETECTING CHANGES IN SPATIAL FEATURE DATA06-20-2013
20130156308PICTURE DETECTION DEVICE, PICTURE RECORDING DEVICE, PICTURE RECORDING/REPRODUCTION DEVICE, PICTURE DETECTION METHOD, PICTURE RECORDING METHOD, AND PICTURE RECORDING/REPRODUCTION METHOD - A picture detection device includes an estimation unit configured to, based on deviations in color information of pixels of a prescribed number of lines in an upper-edge portion, lower-edge portion, left-edge portion, and right-edge portion of a picture frame including a first picture and a second picture displayed on the periphery of the first picture, estimate an edge portion of the picture frame in which the second picture is displayed from among above-described four portions; and a detection unit configured to detect the first picture of the picture flame; wherein the detection unit moves a borderline detection line from the center of the picture frame toward the estimated edge portion, and detects a borderline between the first picture and the second picture based on a brightness difference of pixels in the vicinity of the borderline detection line, and detects the first picture based on the detected borderline.06-20-2013
20120281913IMAGE DISPLAY SYSTEM - Provided is an image display system which allows a user to browse an object of interest in a background as if she/he picks up and moves the object of interest by hand, and allows the user to visually enter inside a specified object placed on the background. The image display system of the present invention is characterized in that it has a mother database (MDB) reconfigured from a database for configuring an object, wherein an image (a two-dimensional image, a three-dimensional space or a four-dimensional space) based on the MDB, in an entire image, is substituted for an object subjected to the object recognition based on the MDB, and synthetically displayed.11-08-2012
20120281912SYSTEM FOR MANAGING DETECTION OF ADVERTISEMENTS IN AN ELECTRONIC DEVICE, FOR EXAMPLE IN A DIGITAL TV DECODER, - A method for generating the result of a search carried out using a search engine, in which a list of results is established after the search operation, the method including: identifying the thumbnail images associated with illustrated results from the list of results; carrying out an analysis operation of the images that includes comparing, by pairs, the identified thumbnail images; grouping, into image families, the thumbnail images sharing a similarity predetermined by the operation of comparing the thumbnail images; and generating the result of the search on the basis of the groupings into image families.11-08-2012
20120281911Reducing Photo-Tagging Spam - A photo spam detector detects illegitimate non-natively captured images through extracting image features and feeding the extracted features into a probabilistic model. The probabilistic model categorizes the photo as legitimate or illegitimate. Requests to tag one or more users in a photo are analyzed by a tag analyzer that assesses relationships between the tag requests themselves, social relationships between the tagged users, and the presence or absence of faces within the regions specified by the tag requests. Based on the classification of images or tags as illegitimate, a social networking system applies one or more social media distribution policies to the image or tags to suppress or prohibit distribution.11-08-2012
20130182949Method for analyzing and/or testing at least one user interface, data processing device and computer program product - In summary, the present invention relates to a method for analyzing and/or testing at least one user interface, comprising the steps of: 07-18-2013
20110311135METHOD FOR TWO-STEP TEMPORAL VIDEO REGISTRATION - The invention relates to a method for temporal video registration of a target video with a master video comprising steps of automatic selection a plurality of key frames for target video and a plurality of key frames for master video; sparse registration of a plurality of key frames for target video with a plurality of key frames for master video; dense registration of frames of target video with frames of master video belonging to a temporal segment including registered key frames.12-22-2011
20130188866METHOD TO ASSESS AESTHETIC QUALITY OF PHOTOGRAPHS - A method to assess aesthetic quality of photographs, including classifying photographs into categories; generating computational models of image aesthetics, each computational model of image aesthetics associated to one different category of the categories; extracting a plurality of features from a photograph, the plurality of features being simplicity features, global features computed in the whole image and/or low-level features in contrasting regions of an image of said photograph. The contrasting regions are partitions of the image obtained by applying an image segmentation algorithm based on feature contrast to the photograph. The method also including applying a computational model of image aesthetics to at least part of the plurality of features extracted from said photograph, the computational model applied according to the category of the photograph, in order to assess aesthetic quality of the photograph.07-25-2013
20120020555APPARATUS AND METHOD FOR PROCESSING IMAGES - Provided are an image processing apparatus and method for restoring a high resolution of an image based on acquired image data using color information. The image processing apparatus selects at least one pixel from among pixels corresponding to narrow-band color information of image data, and estimates wide-band color information of the selected pixel.01-26-2012
20130202201IMAGE CODING METHOD AND APPARATUS AND IMAGE DECODING METHOD AND APPARATUS, BASED ON CHARACTERISTICS OF REGIONS OF IMAGE - Methods of efficiently coding and decoding an image by analyzing each of regions of the image are provided. In the image coding method, an image format and a coding mode of a first region of an image are determined, whether a current image format of the first region is to be switched is determined based on the determined image format, and the first region is coded based on the determined image format and coding mode.08-08-2013
20130208980IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM STORING IMAGE PROCESSING PROGRAM - An image processing device includes a pattern type determination unit in which a predetermined pattern is determined corresponding to color information of an image; a region setting unit in which a predetermined region in the image is set; an image data generation unit in which image data including the image and the pattern are included; and a size correction unit in which a size of the pattern is changed corresponding to a size of the region, or a position correction unit in which a positional relationship between a characteristic portion from which a type of the pattern included in the pattern which is determined in the pattern type determination unit can be discriminated and the region which is set in the region setting unit is corrected.08-15-2013

Patent applications in class Pattern recognition or classification using color