Abstract: An image processing apparatus includes: a pixel selecting unit that selects pixel values which are provided at each of pixel positions in input images that are arranged in chronological sequence, each of the pixel values being included in a corresponding one of the input images, on the basis of an input image to be processed which is set in the middle of the sequence; a moving-object detecting unit that detects a moving object using the selected pixel values, and that produces information items concerning the moving object as moving-object information items; and an output-image generating unit that generates pixel values of an output image, each of the pixel values being generated for a corresponding one of the pixel positions by using, in accordance with a corresponding one of the moving-object information items, a corresponding one of pixel values of the input image to be processed.

Abstract: A computer-implemented method for detecting a red-eye artifact that includes receiving an image depicting a first eye and a second eye corresponding to a human face, and coordinates corresponding to a location of the first eye and the second eye in the image; calculating a distance between the first eye and the second eye using the received coordinates; obtaining a skin tone sample from the image based on the calculated distance and the received coordinates; generating a skin tone color region in a color space based on the obtained skin tone sample; classifying a pixel corresponding to the first eye as a red-eye pixel by comparing the pixel with the generated skin tone color region and a predetermined red-eye color region; and storing an indication of the classifying relative to the pixel.

Abstract: Presented is a light detection device including a first detecting portion detecting fluorescence from a first detection position on a conveyor path, a second detecting portion detecting afterglow from a second detection position on the conveyor path, a lighting portion applying excitation light over a range including the first detection position but not the second detection position, a first reference member including fluorescent material emitting fluorescence and emitting reference light toward the first detecting portion, a second reference member emitting reference light toward the second detecting portion, the reference light not influencing a result of detection by the second detecting portion, and a correction controller correcting a detection result by the first detecting portion based on the reference light detected by the first detecting portion and correcting a detection result by the second detecting portion based on the reference light detected by the second detecting portion.

Abstract: Disclosed is a medium recognition apparatus for determining the type of a medium by using color information obtained by scanning the inserted medium, as well as a method for determining the type of a medium by using the apparatus. Color information and size information obtained by scanning only a partial region of a medium image, the hue of the medium image scanned by the image sensor, or RGB channel color information scanned by the color sensor is compared with pre-stored reference information to determine the type of the medium. This guarantees that the type of the medium is determined quickly and accurately based on simple comparing results.

Abstract: A method for displaying a radiographic image identifies a region of interest in a portion of the radiographic image, suppresses background image content within the identified region of interest, and enhances contrast of the image within the region of interest to form an enhanced region of interest. The enhanced region of interest is displayed within the remaining portion of the radiographic image.

Abstract: A displacement detection method includes the steps of: capturing a first frame and a second frame; selecting a first block with a predetermined size in the first frame and selecting a second block with the predetermined size in the second frame; determining a displacement according to the first block and the second block; comparing the displacement with at least one threshold; and adjusting the predetermined size according to a comparison result of comparing the displacement and the threshold. The present invention further provides a displacement detection apparatus.

Abstract: An image processing apparatus includes a motion vector detecting unit configured to detect, for each field of a signal, a motion vector in each of a plurality of vector detection areas within the field, a determining unit configured to determine, for each field, a group area obtained by grouping the motion vector detection areas based on the motion vector detected by the motion vector detecting unit, a geometric center calculation unit configured to obtain, for each field, a geometric center of the group area, a determination unit configured to determine group areas that correspond to each other in fields that are in consecutive relation in terms of time by comparing the geometric centers of the group areas obtained for each field in consecutive relation.

Abstract: A method for cardiac segmentation in magnetic resonance (MR) cine data, includes providing a time series of 3D cardiac MR images acquired at a plurality of phases over at least one cardiac cycle, in which each 3D image includes a plurality of 2D slices, and a heart and blood pool has been detected in each image. Gray scales of each image are analyzed to compute histograms of the blood pool and myocardium. Non-rigid registration deformation fields are calculated to register a selected image slice with corresponding slices in each phase. Endocardium and epicardium gradients are calculated for one phase of the selected image slice. Contours for the endocardium and epicardium are computed from the gradients in the one phase, and the endocardium and epicardium contours are recovered in all phases of the selected image slice. The recovered endocardium and epicardium contours segment the heart in the selected image slice.

Abstract: A system for processing remotely acquired imagery includes a storage element (316) for receiving first and second sets of imagery data associated metadata defining a first image of a panchromatic image type and a second image of a multi-spectral image type (404). The system also includes a processing element (302) communicatively coupled to the storage element and configured for obtaining a mapping between pixels in the first image and the second image based on the associated metadata (406). The processing element is further configured for generating a third set of imagery data defining a third image of a panchromatic type based on the second set of imagery data (408). The processing element is also configured for generating an alternate mapping for the first and second images based on comparing areas of pixels in the first and third images that are non-corresponding according to the mapping function (426).

Abstract: A detection system fusing motion detection and object detection for various applications such as tracking, identification, and so forth. In an application framework, model information may be developed and used to reduce the false alarm rate. With a background model, motion likelihood for each pixel, for instance, of a surveillance image, may be acquired. With a target model, object likelihood for each pixel of the image may also be acquired. By joining these two likelihood distributions, detection accuracy may be significantly improved over the use of just one likelihood distribution for detection in applications such as tracking.

Abstract: Automatic measurement of morphometric and motion parameters of a coronary target includes extracting reference frames from input data of a coronary target at different phases of a cardiac cycle, extracting a three-dimensional centerline model for each phase of the cardiac cycle based on the references frames and projection matrices of the coronary target, tracking a motion of the coronary target through the phases based on the three-dimensional centerline models, and determining a measurement of morphologic and motion parameters of the coronary target based on the motion.

Abstract: An apparatus and method specify the presence/absence of an alteration and an alteration position of an image. A block-division unit divides image data into image data of a first unit including a predetermined number of pixels. A block calculation unit calculates an image data coefficient of the first unit. A cell-division unit divides one image data of the first unit into image data of a second unit. A cell calculation unit calculates an image data coefficient of the second unit. First verification data is generated by selecting two image data coefficients of the first unit and generating, for one pair, data representing the magnitude relation of the image data coefficients of the first unit. Second verification data is generated by selecting two image data coefficients of the second unit and generating, for one pair, data representing the magnitude relation of the image data coefficients of the second unit.

Abstract: The present invention relates to a recording medium a method and an apparatus for generating virtual teeth and recording media storing a program performing the method. According to an embodiment of the present invention, a method for generating virtual teeth includes (a) acquiring a tooth image having three-dimensional information from teeth including a damaged tooth; (b) determining an image of a virtual tooth to be inserted into a position of the damaged tooth in a tooth image library having predetermined three-dimensional information and inserting the determined virtual tooth image into the acquired tooth image; and (c) modifying the virtual tooth image by considering tooth images positioned at upper and lower sides or right and left sides of the virtual tooth image. According to the embodiment of the present invention, it is possible to produce a prosthesis most suitable for the state of patient's teeth only once and an operator can minimize post-processing of the produced prosthesis.

Abstract: Systems and devices for processing image or other data using non-linear methods to compensate for localized slopes are described. In one implementation, the slope of the sample values in an image or other dataset is estimated in one or more directions using a non-linear filter, such as a median filter. The values of at least some of the samples of interest are compensated using the estimated slope values to remove the effects of the slope. The compensated values may then be processed to determine if the target is present in the samples of interest, or for any other purpose.

Abstract: A method for segmenting image data within a data processing system includes acquiring an image. One or more seed points are established within the image. An advection vector field is computed based on image influences and user input. A dye concentration is determined at each of a plurality of portions of the image that results from a diffusion of dye within the computed advection field. The image is segmented into one or more regions based on the determined dye concentration for the corresponding dye.

Abstract: A digital watermark embedding device and a digital watermark detecting device are obtained, which can realize stable digital watermark detection using fewer, and embed and detect a larger amount of digital watermark information with an identical number of pixels used for digital watermark embedding in a conventional technology.

Abstract: A method for shoe fitting includes identifying outer foot outlines defining outer boundaries of feet of a user, and inner foot outlines defining weight-bearing areas of the feet in a computer-readable image of the feet. Weighted foot outlines are calculated based on the outer and inner foot outlines. A plurality of unfilled shoes are defined by a common shoe last having a last bottom outline, and sets of different left and right interchangeable insole adapters for insertion into the unfilled shoes are provided. The adapters match the last bottom outline and have respective adapter outlines. The weighted foot outlines are compared with the adapter outlines, to determine an optimal shoe size of a pair of shoes out of the plurality of the unfilled shoes, and to select left and right insole adapters from the sets of the interchangeable insole adapters whose adapter outlines best match the weighted foot outlines.

Abstract: Methods and systems for correlated noise suppression are presented. The present correlated noise suppression technique estimates a correlation direction between noise values in a first and a second MD image corresponding to a first and a second basis material, respectively. The two MD images are diffused using the estimated correlation direction to generate a first and a second diffused image. Further, first and second noise masks are generated by subtracting the diffused image from the corresponding MD image. Edges in the first and the second MD images are processed with the first and second noise masks, respectively to generate a final first noise mask and a final second noise mask. The first MD image is then processed with the final second noise mask to generate a final first MD image and the second MD image is processed with the final first noise mask to generate a final second MD image.

Abstract: Provided is an iterative method of estimating the pose of a moving PTZ camera. The first step is to use an image registration method on a reference image and a current image to calculate a matrix that estimates the motion of sets of points corresponding to the same object in both images. Information about the absolute camera pose, embedded in the matrix obtained in the first step, is used to simultaneously recalculate both the starting positions in the reference image and the motion estimate. The recalculated starting positions and motion estimate are used to determine the pose of the camera in the current image. The current image is taken as a new reference image, a new current image is selected and the process is repeated in order to determine the pose of the camera in the new current image. The entire process is repeated until the camera stops moving.

Abstract: A method and system for detecting and counting mitotic figures in an image of a biopsy sample stained with at least one dye, includes color filtering the image in a computer process to identify pixels in the image that have a color which is indicative a mitotic figure; extracting the mitotic pixels in the image that are connected to one another in a computer process, thereby producing blobs of mitotic pixels; shape-filtering and clustering the blobs of mitotic pixels in a computer process to produce mitotic figure candidates; extracting sub-images of mitotic figures by cropping the biopsy sample image at the location of the blobs; extracting two sets of features from the mitotic figure candidates in two separate computer processes; determining which of the mitotic figure candidates are mitotic figures in a computer classification process based on the extracted sets of features; and counting the number of mitotic figures per square unit of biopsy sample tissue.