Abstract: An image processing method and an image processing system using a regionalized architecture are provided. In the method, a plurality of neighborhood pixels having at least one similarity characteristic in an image are classified into a group region having the same characteristics. Then, a unique group mark is assigned to each of the group regions, a regionalized chain code is used to describe an edge of each group region, such that subsequent image processing procedures can be applied to the neighborhood pixels of a currently processed pixel having same group mark. Therefore, the group regions can be recognized according to the group mark and regionalized chain code thereof, so as to simultaneously perform image processing procedures on those group regions.

Abstract: An automated biometric submission and scanning system includes a scanner adapted for creating digital image files corresponding to biometrics, such as fingerprints. A computer, which can be standalone or linked to a network, receives the scanner output. The computer is programmed with an image enhancement program, which transforms the biometric image to an appropriate format for searching in one or more biometrics databases. An automated biometric submission and scanning method includes the steps of scanning a biometric image, enhancing the scanned image file, running a biometrics tracking program, selecting a biometrics database, complying with the database submission standards and submitting a biometrics database search.

Abstract: Jittering in medical diagnostic ultrasound imaging is reduced, such as in steered spatial compounding. A pattern of decorrelation is used to detect motion between component frames, register component frames, and/or reduce jitter in the motion correction. The ultrasound imaging adapts as a function of the pattern.

Abstract: An image processing apparatus includes: a storage unit configured to store tomographic images in relation to the fundus of an examined eye; a detection unit configured to detect a boundary of retinal pigment epithelium and an inner limiting membrane from each of the images and to detect a part where the boundary is discontinuous; a determination unit configured to determine a surface of a sclera model for each of the images by use of the detected boundary and the inner limiting membrane; a generation unit configured to generate a sclera model including an optic papilla periphery by use of the surface of the sclera model and the part where the boundary is discontinuous; a combining unit configured to combine each of the images and the sclera model to generate a combined image; and a display unit configured to display the combined image generated by the combining unit.

Abstract: An eyelid detection device that, based on first order differential values and second order differential values of vertical density change at an eyelid boundary in an eye image, shifts the second order differential values upwards by ¼ of the cycle of density change frequency of an eyelid boundary and combines the first order differential values and the second order differential values to compute upper eyelid feature amounts. The eyelid detection device detects a boundary between an upper eyelid and eyeball based on peak points in the vertical direction of the computed upper eyelid feature amounts. Consequently, the boundary between an eyelid and eyeball can be accurately detected even when the eyelid has been applied with makeup.

Abstract: Method and system for imaging an object in three-dimensions, binning data of the imaged object into three dimensional bins, determining a density value p of the data in each bin, and creating receptive fields of three dimensional feature maps, including processing elements O, each processing element O of a same feature map having a same adjustable parameter, weight Wc1. The density values p are processed with the processing elements O to determine an output value o for at least each three dimensional location of the imaging of the object having a density value p above a predetermined threshold value. An object is classified by processing the output values o with a committee of classifiers, and the classification of the object is communicated.

Abstract: The invention relates to a method and a device for determining the exposure of a three-dimensional object in an image, characterised in that it comprises the following steps: acquiring a three-dimensional generic model of the object, projecting the three-dimensional generic model according to at least one two-dimensional representation and associating to each two-dimensional representation an exposure information of the three-dimensional object, electing and positioning a two-dimensional representation onto the object in said image, and determining the three-dimensional exposure of the object in the image from at least the exposure information associated with the selected two-dimensional representation.

Abstract: The present invention provides tools and methods designed to aid in the placement of artificial facet joints at virtually all spinal levels. One aspect of the present invention is a measurement tool for installing an artificial cephalad facet joint including a fixation measurement element and a support arm element. This measurement tool assists in the selection and/or configuration of an artificial cephalad facet joint for implantation in a patient. Another aspect is a measurement tool for installing a caudad facet joint including a stem element and a trial caudad bearing surface element. This measurement tool assists in the selection and/or configuration of a caudad facet joint for implantation in a patient. Yet another aspect is a measurement tool holder including a measurement surface connected to a holder element. This tool holder assists in determining the measurements obtained with the caudad facet joint measurement tool.

Abstract: An authentication device includes: a vein information extraction section that extracts a piece of vein information representing a vein from an image containing a vein of a finger; an extraction section that extracts a piece of information representing the position of the finger's outline at an intermediate stage of the process of extracting the piece of vein information; and a determination section that determines, based on the degree of similarity between the piece of information and a piece of information associated with a piece of registration-target vein information, a verification target to be compared with the piece of vein information.

Abstract: A method for wide baseline feature matching comprises capturing one or more images from an image sensor on each of two or more platforms when the image sensors have overlapping fields of view, performing a 2-D feature extraction on each of the captured images in each platform using local 2-D image feature descriptors, and calculating 3-D feature locations on the ellipsoid of the Earth surface from the extracted features using a position and attitude of the platform and a model of the image sensor. The 3-D feature locations are updated using digital terrain elevation data (DTED) as a constraint, and the extracted features are matched using the updated 3-D feature locations to create a common feature zone. A subset of features from the common feature zone is selected, and the subset of features is inputted into a collaborative filter in each platform. A convergence test is then performed on other subsets in the common feature zone, and falsely matched features are pruned from the common feature zone.

Abstract: A method of authenticating a user by capturing an image of the user, assigning a user-name, selecting an image category, selecting a pattern, selecting locations on the user's face, assigning a rotation-value, logging onto a computer, presenting images, where some images are in the image category, selecting images that are the pattern away from the images in the image category, calculating a rotation angle, projecting the selected images that are rotated by the rotation angle onto the user's face at the locations, capturing an image of the user's face with the rotated images projected thereon, and authenticating the user if the user's facial features match the user's face and the projected images are the pattern away from the images in the image-category, are at the locations, are rotated by the rotation angle, and exhibit distortion consistent with the contour of the user's face.

Abstract: An image processing apparatus includes an acquiring unit, a specifying unit, a search unit and a difference extracting unit. The acquiring unit acquires a first image and a second image. The specifying unit specifies one or more image areas included in the first image. The search unit searches the second image for an image area corresponding to each of the one or more image areas specified by the specifying unit. The difference extracting unit extracts a difference between the corresponding image area obtained by the search unit and each of the one or more image areas specified by the specifying unit.

Abstract: For converting a two-dimensional visual image into a three-dimensional visual image, the two-dimensional visual image is segmented into regions, including a first region having a first depth and a second region having a second depth. The first and second regions are separated by at least one boundary. A depth map is generated that assigns variable depths to pixels of the second region in response to respective distances of the pixels from the boundary, so that the variable depths approach the first depth as the respective distances decrease, and so that the variable depths approach the second depth as the respective distances increase. In response to the depth map, left and right views of the three-dimensional visual image are synthesized.

Abstract: A moving picture compression coding apparatus divides a screen into at least three regions and performs compression coding for the at least three regions by encoding units. The moving picture compression coding apparatus includes a coding control unit configured to control the encoding units to encode the data for different regions in parallel and to control the encoding such that the data for an upper region out of two adjacent upper and lower regions in the vicinity of the center of the screen of the at least three regions is encoded prior to the encoding of the data for the lower region or such that the data for a left region of two adjacent left and right regions in the vicinity of the center of the screen of the at least three regions is encoded prior to the encoding of the data for the right region.

Abstract: The present invention relates to a method for predicting a trend of a meteorological phenomenon on the basis of data originating from a meteorological radar. The method includes at least the following steps: a first step of extracting gray level skeletons from images representing the data of the radar; a second step of associating characteristic data indicative of the state of the meteorological system with the gray level local extrema points; a third step of pairing each gray level skeleton of the two successive images; a fourth step of predicting future positions of the forms of the images; a fifth step of predicting trend data of the meteorological system; and a sixth step of representing the information originating from the sixth tracking step. The invention can notably be applied to the establishment of a prediction of trend of a cloud mass. The prediction of the trend of a meteorological situation may be presented to a pilot of an aircraft.

Abstract: According to one embodiment there is provided a computer-automated image processing method applied to a four-dimensional (4D) image data set of a patient's abdomen, e.g. by dynamic contrast enhanced computer-assisted tomography (DCE-CT). One of the three-dimensional (3D) scan images is taken to as the reference volume and the others as target volumes. Before registration between the 3D scan images, the image data set is partitioned into an abdominal cavity domain, containing the organs inside the abdominal wall, and an abdominal wall domain including the abdominal wall and externally adjacent skeletal features, such as the spine and ribs. Registration is then carried out separately on the two domains to obtain two warp fields which are then merged into a 4D image data set of the whole volume for further use, which may be to carry out perfusion measurements, to display and to store the registered 4D image data set.

Abstract: Automatic stacking based on time proximity and visual similarity is described, including a method, comprising analyzing a time proximity of a plurality of electronic images, performing a visual similarity analysis on the plurality of electronic images, and stacking the plurality of electronic images based on a result of the time proximity analysis and the visual similarity analysis.

Abstract: A display format adjustment system includes a receiving module, a visual condition determination module, a display format determination module, and a display control module. The receiving module receives content for display in a first display format. The visual condition determination module determines a visual condition of a viewer in front of a display. The display format determination module determines a second display format based on the first display format and the visual condition of the viewer. The display control module displays the content in the second display format on the display.

Abstract: This invention provides an image processing device and an image processing method capable of implementing pattern matching based on an edge code at relatively high speed with a smaller circuit configuration. In the image processing device according to the present embodiment, an information amount of a valid zone is diffused over an entire edge code image. In other words, the amount of information used in the entire edge code image is compressed by reducing the number of bits to assign to each pixel and effectively using the number of bits assigned to each pixel as a whole. If a valid zone for an edge EDG1, the following invalid zone in which the invalid edge code value continues, and the following valid zone for an edge EDG2 appear in a profile of the edge code value, increase/decrease information from the edge code value contained in the valid zone for the edge EDG1 to the edge code value contained in the valid zone for the edge EDG2 is assigned to the element corresponding to the invalid zone.

Abstract: A method of reading a gauge may include capturing a digital image of the gauge with a gauge reading device attached to the gauge, the digital image comprising a plurality of pixels; determining an angle of a gauge feature based on positions of predetermined pixels of the digital image; and converting the angle into a gauge reading. Gauge reader devices and network based systems are also disclosed.