Patent application number | Description | Published |
20090037039 | Method for locomotive navigation and track identification using video - A system for determining a track location operates to acquire a current video frame via at least one video camera mounted on board a locomotive, determine a track location based on information extracted from the at least one video frame, and transmit the track location information to a navigation system to determine control parameters for the locomotive. | 02-05-2009 |
20090066939 | METHOD FOR AUTOMATIC IDENTIFICATION OF DEFECTS IN TURBINE ENGINE BLADES - A method for automatically identifying defects in turbine engine blades is provided. The method comprises acquiring one or more radiographic images corresponding to one or more turbine engine blades and identifying one or more regions of interest from the one or more radiographic images. The method then comprises extracting one or more geometric features based on the one or more regions of interest and analyzing the one or more geometric features to identify one or more defects in the turbine engine blades. | 03-12-2009 |
20090238432 | METHOD AND SYSTEM FOR IDENTIFYING DEFECTS IN RADIOGRAPHIC IMAGE DATA CORRESPONDING TO A SCANNED OBJECT - A method for identifying defects in radiographic image data corresponding to a scanned object is provided. The method includes acquiring radiographic image data corresponding to a scanned object. In one embodiment, the radiographic image data includes an inspection test image and a reference image corresponding to the scanned object. The method includes identifying one or more regions of interest in the reference image and aligning the inspection test image with the regions of interest identified in the reference image, to obtain a residual image. The method further includes identifying one or more defects in the inspection test image based upon the residual image and one or more defect probability values computed for one or more pixels in the residual image. | 09-24-2009 |
20090279772 | Method and System for Identifying Defects in NDT Image Data - An anomaly detection method includes acquiring image data corresponding to nondestructive testing (NDT) of a scanned object. The NDT image data comprises at least one inspection test image of the scanned object and multiple reference images for the scanned object. The anomaly detection method further includes generating an anomaly detection model based on a statistical analysis of one or more image features in the reference images for the scanned object and identifying one or more defects in the inspection test image, based on the anomaly detection model. | 11-12-2009 |
20100124369 | METHODS AND APPARATUS FOR MEASURING 3D DIMENSIONS ON 2D IMAGES - A method for determining 3D distances on a 2D pixelized image of a part or object includes acquiring a real 2D pixelized image of the object, creating a simulated image of the object using the 3D CAD model and the 2D pixelized image, determining a specified cost function comparing the simulated image with the real 2D pixilated image and repositioning the simulated image in accordance with iterated adjustments of a relative position between the CAD model and the XID pixilated image to change the simulated image until the specified cost function is below a specified value. Then, the workstation is used to generate a 3D distance scale matrix using the repositioned simulated image, and to measure and display distances between selected pixels on a surface of the real image using 2D distances on the 2D pixelized image of the object and the 3D distance scale matrix. | 05-20-2010 |
20100220910 | METHOD AND SYSTEM FOR AUTOMATED X-RAY INSPECTION OF OBJECTS - An anomaly detection method and system for comparing a scanned object to an idealized object is provided. The anomaly detection method includes generating a three-dimensional reference model of the idealized object. The anomaly detection method further includes acquiring at least one two-dimensional inspection test image of the scanned object. The anamoly detection method also includes determining a two-dimensional reference image from the three-dimensional reference model using multiple pose parameters, wherein the two-dimensional reference image corresponds to the same view of the three-dimensional reference model of the idealized object as the view of the two-dimensional inspection test image of the scanned object. The anamoly detection method further includes identifying one or more defects in the inspection test image via automated defect recognition technique. | 09-02-2010 |
20110102430 | SYSTEM AND METHOD FOR PRESENTING TOMOSYNTHESIS IMAGES - A method and system for presenting images of an object of interest is provided. The method includes producing one or more cine loops of images from at least one of multiple projection views or multiple reconstructed 3D images including a 3D volume obtained from one or more beamlines. The method also includes generating at least one combined image including a first component and a second component wherein the first component and the second component each include one of a baseline image or the one or more cine loops of images. The combined image is generated via at least one of superimposing the first component and the second component, displaying the first component adjacent to the second component, and toggling between the first component and the second component. The method also includes displaying the at least one combined image. | 05-05-2011 |
20110170661 | INSPECTION SYSTEM AND METHOD - An inspection system is provided. The inspection system includes at least one source configured to emit a beam of radiation onto an object. The inspection system also includes at least two area detectors having different characteristics configured to receive a reflected beam of radiation from the object and output a plurality of image data streams corresponding to the different characteristics, wherein the at least two area detectors disposed in at least one of a cascaded arrangement or separated by a pre-determined distance along a direction parallel or perpendicular to a scan direction of the object. | 07-14-2011 |
20110182495 | SYSTEM AND METHOD FOR AUTOMATIC DEFECT RECOGNITION OF AN INSPECTION IMAGE - A method for an anomaly detection method is provided. The method includes acquiring at least one two-dimensional or three-dimensional or n-dimensional inspection test image data of a scanned object. The method further includes partitioning the inspection test image data of the scanned object into multiple sub-regions. The method also includes computing one or more texture metrics for each sub-region. Finally, the method includes discriminating between an anomalous and a non-anomalous region in the scanned object according to one or more values of the computed texture metrics and identifying one or more anomalies in the inspection test image data. | 07-28-2011 |
20110222754 | SEQUENTIAL APPROACH FOR AUTOMATIC DEFECT RECOGNITION - A method of automatic defect recognition includes receiving a initial set of inspection image data of a scanned object from a scanning machine; applying a first image analysis algorithm to this set of inspection image data; then removing from the set of inspection image data any defect-free image regions, so as to retain a set of analyzed inspection image data; applying an additional image analysis algorithm(s) to the set of analyzed inspection image data, wherein the additional algorithm(s) has a higher computational cost than the first image analysis algorithm; and based on the applying of the additional image analysis algorithm(s), removing from the first set of inspection image data a second set of defect-free image regions, thereby retaining a set of twice-analyzed inspection image data. | 09-15-2011 |