Abstract: A method and system for image reconstruction are provided. A projection image of a projection object may be obtained. A processed projection image may be generated based on the projection image through one or more pre-process operations. A reconstructed image including an artifact may be reconstructed based on the processed projection image. The artifact may be a detector edge artifact, a projection object edge artifact, and a serrated artifact. The detector edge artifact, the projection object edge artifact, and the serrated artifact may be removed from the reconstructed image.

Abstract: The purpose of the present invention is to provide an object detecting device which is capable of accurately detecting an object even far away, and of shortening processing time. Provided is an object detecting device (100), comprising: a disparity acquisition unit (116) which compares each image of two cameras (112, 113) and computes a disparity for each pixel; a near-far boundary setting unit (118) which, in a single image of one of the two cameras, sets a boundary (Rb) between a near region (R1) which is close to a vehicle (110) and a far region (R2) which is distant from the vehicle (110); a near object detecting unit (119) which detects objects (102, 104) of the near region (R1) on the basis of the disparity; and a far object detecting unit (120) which detects objects (103, 104) of the far region (R2) on the basis of the single image.

Abstract: A system for a vehicle (13) having a driver's cabin (15) and a rearward extending portion (14) that is pivotable with respect to the driver's cabin (15), for capturing a rear part (17) of the rearward extending portion (14), the system having at least two wheel sensors (2, 3) located on opposite ends of an axis (18, 19) of the rearward extending portion (14), for acquiring information on a rotational movement of wheels attached to the ends of the axis (18, 19), and a control unit (4) connected with the wheel sensors (2, 3), which control unit determines the rear part (17) of the rearward extending portion (14) based on the acquired information on the rotational movement of the wheels.

Abstract: A system and method for displaying images of internal anatomy includes an image processing device configured to provide high resolution images of the surgical field from low resolution scans during the procedure. The image processing device digitally manipulates a previously-obtained high resolution baseline image to produce many representative images based on permutations of movement of the baseline image. During the procedure a representative image is selected having an acceptable degree of correlation to the new low resolution image. The selected representative image and the new image are merged to provide a higher resolution image of the surgical field. The image processing device is also configured to provide interactive movement of the displayed image based on movement of the imaging device, and to permit placement of annotations on the displayed image to facilitate communication between the radiology technician and the surgeon.

Abstract: A medical information processing apparatus according to an embodiment includes determination circuitry and display control circuitry. The determination circuitry determines whether there is a change in an amount of individual metabolites among a plurality of metabolites in magnetic resonance spectroscopy within a part worthy of attention set on medical image data by comparing the amount of each of the plurality of metabolites with a reference value corresponding to each metabolite. The display control circuitry display identification information by associating therewith the part worthy of attention, the identification information identifying whether the amount of each of the plurality of metabolites is changed.

Abstract: A method of tracking a mobile device comprising at least one camera in a real environment comprises the steps of receiving image information associated with at least one image captured by the at least one camera, generating a first geometrical model of at least part of the real environment based on environmental data or mobile system state data acquired in an acquisition process by at least one sensor of a mobile system, which is different from the mobile device, and performing a tracking process based on the image information associated with the at least one image and at least partially according to the first geometrical model, wherein the tracking process determines at least one parameter of a pose of the mobile device relative to the real environment. The invention is also related to a method of generating a geometrical model of at least part of a real environment using image information from at least one camera of a mobile device.

Abstract: A system for automated mosaic-based vector editing comprising a mosaic imaging server that assembles image tiles to form larger image mosaics while correcting the image tiles for tonality and other visual characteristics, a vector analysis server that analyzes vector information, a routing calculation server that calculates routes from the vector information, and a rendering engine that produces visualizations from the routing information, and a method for image mosaic creation and correction.

Abstract: An image processing apparatus includes an acquiring unit and an image processing unit. The acquiring unit acquires a radiographic image acquired by irradiating a radiation on an object and a scattered-ray component contained in the radiographic image, wherein the scattered-ray component originates from a scattered ray which is a radiation scattered in the object. The image processing unit performs an image process on the radiographic image in accordance with an instruction, wherein the image processing unit performs an image process based on a radiographic image acquired by the acquiring unit and a scattered-ray component acquired by the acquiring unit in a case where an instruction to perform the image process is received again.

Abstract: For breast cancer detection with an x-ray scanner, a cascade of multiple classifiers is trained or used. One or more of the classifiers uses a deep-learnt network trained on non-x-ray data, at least initially, to extract features. Alternatively or additionally, one or more of the classifiers is trained using classification of patches rather than pixels and/or classification with regression to create additional cancer-positive partial samples.

Abstract: A cloud-based transregional license-plate-recognition system and a method thereof are disclosed. The system includes a local license-plate-capture module and a cloud license-plate-recognition module. The local license-plate-capture module captures a license plate image when detecting that a vehicle is approaching, obtains position information, modulates the license plate image and the position information into recognition information and sends the recognition information to the cloud license-plate-recognition module. The cloud license-plate-recognition module retrieves and demodulates the recognition information to retrieve a recognition image and index information, selects at least one of a plurality of recognition logics according to the index information, and executes a license-plate-recognizing process on the recognition image by the selected recognition logic for generating license plate information.

Abstract: A vehicular structure from motion (SfM) system can store a number of image frames acquired from a vehicle-mounted camera in a frame stack according to a frame stack update logic. The SfM system can detect feature points, generate flow tracks, and compute depth values based on the image frames, the depth values to aid control of the vehicle. The frame stack update logic can select a frame to discard from the stack when a new frame is added to the stack, and can be changed from a first in, first out (FIFO) logic to last in, first out (LIFO) logic upon a determination that the vehicle is stationary. An optical flow tracks logic can also be modified based on the determination. The determination can be made based on a dual threshold comparison to insure robust SfM system performance.

Abstract: A vehicular control system includes a forward viewing camera that views forward through the vehicle windshield and a control including a processor that processes image data captured by the camera. Responsive at least in part to processing of captured image data, (i) at least one road characteristic of a road along which the vehicle is traveling is detected, (ii) other vehicles exterior the vehicle are detected, and (iii) road curvature of the road along which the vehicle is traveling is determined. Data derived at least in part from captured image data and that is at least in part relevant to a current geographic location of the vehicle is wirelessly communicated from the vehicle to a remote data receiver located remote from the vehicle for processing to determine information relevant to the vehicle. Speed of the vehicle is controlled based at least in part on image data processed by the processor.

Abstract: An image processing apparatus includes a calculation unit configured to calculate information indicating similarity among a plurality of tomographic images, and a generation unit configured to generate a tomographic image from the plurality of tomographic images based on the calculated information indicating similarity.

Abstract: Systems and methods of imaging an organ of a patient include obtaining a plurality of two-dimensional (2D) tomosynthesis projection images of the organ. An x-ray image of the organ is obtained. A three-dimensional (3D) volume of the organ is reconstructed from the plurality of projection images and the x-ray image. A synthetic 2D image of the organ is generated from the plurality of projection images and the x-ray image. The x-ray image is mapped to the 3D volume. A user selection of an object of interest in the x-ray image or the synthetic 2D image is received. A plane through the 3D volume that crosses the selected object of interest is identified and displayed.

Abstract: A method and system that allows healthcare providers, hospitals, skilled nursing facilities and other persons to monitor disabled, elderly or other high-risk individuals to prevent or reduce falls and/or mitigate the impact of a fall by delivering automated notification of “at risk” behavior and falls by such an individual being monitored where assistance is required. The monitored individual is virtually represented as a blob object of at least a specific size by a computerized monitoring system and such system detects and alerts when the blob object enters or crosses into a virtually defined or designated blob detection zone and remains in the zone for at least a predetermined period of time.

Abstract: A region extraction unit extracts first and second shape-invariant regions corresponding to each other from first and second three-dimensional images acquired by an MRI apparatus. A first registration unit acquires a first deformation vector by performing rigid registration between the first and second shape-invariant regions. A second registration unit acquires a second deformation vector by performing non-rigid registration between the first and second three-dimensional images in each shape-invariant region. A magnetic field distortion vector calculation unit calculates a magnetic field distortion vector, which represents relative magnetic field distortion between the first and second three-dimensional images based on the first and second deformation vectors.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to perform control to display a matrix representing inter-regional connectivity between a plurality of regions in a brain. The processing circuitry is configured to perform, based on an attention degree set to each of the regions, control to selectively display part of a plurality of regions arranged along a first axis of the matrix.

Abstract: This document describes methods, systems and computer program products directed to imaging blood cells. The subject matter described in this document can be embodied in a method of classifying white blood cells (WBCs) in a biological sample on a substrate. The method includes acquiring, by an image acquisition device, a plurality of images of a first location on the substrate, and classifying, by a processor, objects in the plurality of images into WBC classification groups. The method also includes identifying, by a processor, objects from at least some classification groups, as unclassified objects, and displaying, on a user interface, the unclassified objects and at least some of the classified objects.

Abstract: The present technology relates to an information processing device, an information processing system, and a program which enable a state of pores to be understood in further detail. A photographing unit photographs skin of a person irradiated with first light of a first wavelength band or second light of a second wavelength band different from the first wavelength band. A pore detecting unit detects pores in a first skin image, which is an image obtained by photographing the skin of the person irradiated with the first light. A porphyrin detecting unit detects a pore state of the skin of the person based on pixel values of a plurality of color components of each of pixels of a second skin image, which is an image obtained by photographing the skin of the person irradiated with second light.

Abstract: This disclosure relates to counterfeit detection and deterrence using advanced signal processing technology including steganographic embedding and digital watermarking. Digital watermark can be used on consumer products, labels, logos, hang tags, stickers and other objects to provide counterfeit detection mechanisms.