Abstract: A method for use with a radiation image detector, including the steps of detecting a faulty signal line having a signal amount less than a predetermined threshold value based on radiation image signals read out from the detector, setting a signal line adjacent to the faulty signal line as an abnormal signal line and a signal line adjacent to the abnormal signal line and having a normal amount of signal as a reference signal line, calculating the difference between a signal read out by the abnormal signal line and a signal read out by the reference signal line as a correction amount, calculating a low frequency component correction amount by removing a high frequency component from the calculated correction amount, and performing a correction on the signal read out by the abnormal signal line by adding the calculated low frequency component correction amount to the signal.

Abstract: Systems and methods for signal analysis using orbits of a chaotic system are provided. For example, a multiresolution analysis may be constructed and cupolets may be used to approximate arbitrary signals and compress images. Cupolets may be phase transformed to produce compact cupolets that are well-suited for producing sharp changes in signals, or to produce compact cupolets that are more oscillatory and have less or no sharp global maximum amplitudes. Alternatively, cupolets may be phase transformed to allow for optimal or near optimal adjustment to fit a signal.

Abstract: A system and method for detecting a target in imagery is disclosed. At least one image region exhibiting changes in at least intensity is detected from among at least a pair of aligned images. A distribution of changes in at least intensity inside the at least one image region is determined using an unsupervised learning method. The distribution of changes in at least intensity is used to identify pixels experiencing changes of interest. At least one target from the identified pixels is identified using a supervised learning method. The distribution of changes in at least intensity is a joint hue and intensity histogram when the pair of images pertain to color imagery. The distribution of changes in at least intensity is an intensity histogram when the pair of images pertain to grey-level imagery.

Abstract: A method for reconstructing images from a set of acquired projection views weights the value backprojected into each image voxel depending on whether the backprojected raysum passes through a highly attenuating region in the subject of the image. If the raysum exceeds an attenuation threshold value, the backprojected values are weighted to substantially reduce the contribution of that raysum to the reconstructed image and to thereby reduce streak artifacts otherwise produced by high attenuation objects such as metal surgical clips.

Abstract: A method of identifying, tracking, and counting human objects of interest based upon at least one pair of stereo image frames taken by at least one image capturing device, comprising the steps of: obtaining said stereo image frames and converting each said stereo image frame to a rectified image frame using calibration data obtained for said at least one image capturing device; generating a disparity map based upon a pair of said rectified image frames; generating a depth map based upon said disparity map and said calibration data; identifying the presence or absence of said objects of interest from said depth map and comparing each of said objects of interest to existing tracks comprising previously identified objects of interest; for each said presence of an object of interest, adding said object of interest to one of said existing tracks if said object of interest matches said one existing track, or creating a new track comprising said object of interest if said object of interest does not match any of sai

Abstract: A thinned output image is generated from an input image. Values of pixels surrounding a pixel of interest in the input image are determined, and first and second neighboring pixel patterns surrounding the pixel of interest are established based on the values of the pixels surrounding the pixel of interest. The first neighboring pixel pattern may be compared to each of a set of purge patterns to determine whether to eliminate the pixel, and the second neighboring pixel pattern may be compared to each of a set of conservation patterns to determine whether to conserve the pixel. The comparisons to the purge and conservation patterns are performed for each pixel independently, and in parallel for all pixels of the input image.

Abstract: A similarity degree calculating unit calculates a similarity degree of a feature quantity of a face image of an imaged checking target, and a feature quantity of a face image of a registrant or a non-registrant registered in a registrant information DB or a non-registrant information DB. A check determination unit notifies a service determination unit when the similarity degree is higher than a threshold value. A related information acquiring unit acquires related information including inter-registrant information, and provides to a time-series information DB generation unit and the service determination unit. The time-series information DB generation unit updates the time-series information DB. A statistical information DB generation unit generates the statistical information DB from the time-series information DB. The service determination unit provides services based on the related information, the time-series information DB, and the statistical information DB.

Abstract: A moving image creating apparatus includes a memory that stores a plurality of template files each of which holds a plurality of component templates each for accommodating an image. An input device that selects any one of the template files stored in the memory. A processing unit analyzes metadata about each of a plurality of images. The processing unit analyzes metadata about each of the component templates in the selected template file. Further, the processing unit places the images into the component templates of the selected template file in accordance with the analyzed metadata about the images and the analyzed metadata about the component templates and places one of the images into one of the component templates of the selected template file, in response to a determination that none of the metadata about each of the images matches the analyzed metadata about the one of the component templates.

Abstract: A method for inspecting objects and an inspection system, the system includes: an image acquisition unit adapted to acquire multiple images, according to a predefined image acquisition scheme, of multiple portions of a diced wafer that comprises multiple dice; and a processor adapted to locate multiple unique features within the multiple images, at least partially during the acquisition of images; associate multiple unique features with multiple dice, at least partially during the location of multiple unique features; determine multiple transformations between multiple die coordinate systems and a global coordinate system, in response to a locations of unique features and their associations with multiple dice, at least partially during an association between multiple unique features with multiple dice; and detect defects in response to a comparison between dice and corresponding reference dice, in response to the transformations, at least partially during the determination of the multiple transformations.

Abstract: A digital photographing apparatus, a method of controlling the digital photographing apparatus, and a recording medium having recorded thereon a program for executing the method are provided. The digital photographing apparatus includes: a data obtainer that obtains long exposure first data about a first image of a subject and short exposure second data about a second image of the subject; a third data generator that generates third data about a third image by warping the first data so that the subject of the first image and the subject of the second image match each other; and a second data amender which, when a predetermined condition is satisfied, amends the second data so that the second data value S(x, y) at the pixel (x, y) of the second image has the third data value W(x, y) at the pixel (x, y) of the third image.

Abstract: A wafer inspection system and a method for inspecting a wafer. The method includes: acquiring multiple frames that cover a first area that comprises a die and a first surrounding area that surrounds the die; wherein the frames partially overlap to provide overlap areas; and processing a sequence of decomposed images of overlap areas such as to align mutually misaligned frames and generating a die reference image.

Abstract: Systems, methods and apparatus are provided through which carotid plaque is classified in an image and visually displayed using an iterative adaptive process, such as an expectation maximization process.

Abstract: The technology of the 4D-GIS system deploys a GIS-based algorithm used to determine the location of a moving target through registering the terrain image obtained from a Moving Target Indication (MTI) sensor or small Unmanned Aerial Vehicle (UAV) camera with the digital map from GIS. For motion prediction the target state is estimated using an Extended Kalman Filter (EKF). In order to enhance the prediction of the moving target's trajectory a fuzzy logic reasoning algorithm is used to estimate the destination of a moving target through synthesizing data from GIS, target statistics, tactics and other past experience derived information, such as, likely moving direction of targets in correlation with the nature of the terrain and surmised mission.

Abstract: An image processing apparatus includes an attribute information generation unit configured to generate attribute information about each pixel of input image data, a division unit configured to divide the input image data into a plurality of blocks of a predetermined size, a generation unit configured to generate a histogram of a color and a pixel existing in a focused block divided by the division unit, a color replacement unit configured to execute color replacement processing on each area defined by the histogram generated by the generation unit, a gradation presence determination unit configured to determine whether gradation exists, and a block integration unit configured, if it is determined that gradation exists, to integrate a focused area and an adjacent area to generate continuous gradation in the focused area and the adjacent area.

Abstract: A method is provided to predict the location of attention focus probability trajectories due to distractions in a test video. A peripheral sensitivity probability map is created base upon a nominal measurement map, and an attention probability map, which are both based on a test video input. A focus of attention probability map with distraction is produced based upon the peripheral sensitivity map, the nominal measurement map, the attention probability map and a distractibility control input.

Abstract: A method for extracting a 3D terrain model for identifying at least buildings and terrain from LIDAR data is disclosed, comprising the steps of generating a point cloud representing terrain and buildings mapped by LIDAR; classifying points in the point cloud, the point cloud having ground and non-ground points, the non-ground points representing buildings and clutter; segmenting the non-ground points into buildings and clutter; and calculating a fit between at least one building segment and at least one rectilinear structure, wherein the fit yields the rectilinear structure with the fewest number of vertices.

Abstract: A method for analyzing queues using video analytics is provided. The method includes receiving a video comprising a plurality of images of a scene. The scene includes a queue region and an operation region. The method also includes processing at least a first image of the plurality of images to determine an occurrence of a first event associated with the operation region, and processing at least a second image of the plurality of images to determine an occurrence of a second event associated with the operation region. The method further includes determining an operation time based on an amount of time between the first event and the second event, processing at least a third image of the plurality of images to determine a quantity of entities in the queue region, and determining a wait time based on the operation time and the quantity of entities in the queue region.

Abstract: A fingerprint sensing module includes a sensor substrate having a sensing side and a circuit side, an image sensor including conductive traces on the circuit side of the sensor substrate, and a sensor circuit including at least one integrated circuit mounted on the circuit side of the sensor substrate and electrically connected to the image sensor. The sensor substrate may be a flexible substrate. The module may include a velocity sensor on the sensor substrate or on a separate substrate. The module may further include a rigid substrate, and the sensor substrate may be affixed to the rigid substrate.

Abstract: A document matching process section retrieves a similar image on a basis of the result of a first comparison process for comparing features of a matching key image of first resolution that are stored in a features storage section with features of a matching reference image and the result of a second comparison process for extracting features from a matching key image of second resolution that is stored in an image data storage section and comparing the extracted features with features of the matching reference image that are stored in the features storage section. This allows accurately retrieving a matching reference image similar to the matching key image, even when the matching key image is a zoomed image, an N-up image, or an image of low resolution.

Abstract: Disclosed herein is a method for detecting thin lines in image data. The method is performed by a processor to process contone image data. The processing includes thresholding a window of pixels using a first set of thresholds established in the contone domain, and then counting and thresholding the binary pixels using a second set of thresholds. The processing in the contone and binary domain are used to determine if a thin line exists and if a pixel of interest in the window is an edge pixel that is part of a thin line. The disclosed method produces better quality output images and reduces the addition of false lines in an image.