Abstract: A medical data processing method of matching a medical image of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure, the method being constituted to be executed by a computer and comprising the following steps; acquiring patient image data describing a medical image representation of the anatomical structure in the medical image; determining, based on the patient image data, patient substructure data describing a plurality of patient substructure representations each describing a different patient substructure of the anatomical structure; acquiring general substructure data describing a general substructure representation of each of a plurality of general substructures for each of the patient substructures; determining, for each of the patient substructures and based on the patient substructure data and the general substructure data, substructure matching data describing a matching general substructure representation which matches the respective patient s

Abstract: A device (100) for detecting circumventing behavior includes an estimation unit (101) that estimates a degree of crowd congestion in relation to each of a plurality of partial areas of a target image, and a detection unit (102) that detects circumventing behavior of a crowd by using a distribution state and a temporal transition of the degree of congestion estimated by the estimation unit (101).

Abstract: A system and method for human motion recognition are provided. The system includes a video sequence decomposer, a feature extractor, and a motion recognition module. The video sequence decomposer decomposes a video sequence into a plurality of atomic actions. The feature extractor extracts features from each of the plurality of atomic actions, the features including at least a motion feature and a shape feature. And the motion recognition module performs motion recognition for each of the plurality of atomic actions in response to the features.

Abstract: The subject matter described herein includes methods, systems, and computer program products for biological inventory tracking using cloud services and mobile devices. According to one method, information is input from a mobile device about a specimen sample. The information includes an image of the specimen sample captured using the mobile device including an identifying indicia. The information is uploaded and stored in an encrypted format accessible to authorized and verified users. At least one characteristic of the specimen sample is determined based on the information. Tracking and status information, as well as notifications or reminders, regarding the specimen sample are provided in real-time or near real-time to the mobile device.

Abstract: Systems and methods for processing electronic imaging data obtained from medical imaging procedures are disclosed herein. Some embodiments relate to data processing mechanisms for medical imaging and diagnostic workflows involving the use of machine learning techniques such as deep learning, artificial neural networks, and related algorithms that perform machine recognition of specific features and conditions in imaging data. In an example, a deep learning model is selected for automated image recognition of a particular medical condition on image data, and applied to the image data to recognize characteristics of the particular medical condition. Based on the characteristics recognized by the automated image recognition on the image data, an electronic workflow for performing a diagnostic evaluation of the medical imaging study may be modified, updated, or prioritized.

Abstract: Embodiments of the disclosure include methods, machines, and non-transitory computer-readable medium having one or more computer programs stored therein to enhance core analysis planning for a plurality of core samples of subsurface material. Embodiments can include positioning electronic depictions of structure of encased core samples of subsurface material on a display and determining portions of each of the images as different planned sample types thereby to virtually mark each of the images. Planned sample types can include, for example, full diameter samples, special core analysis samples, conventional core analysis samples, and mechanical property samples. Embodiments further can include transforming physical properties of encased core samples of subsurface material into images responsive to one or more penetrative scans by use of one or more computerized tomography (CT) scanners.

Abstract: The system and method of the invention utilizes computer software to determine an estimation of the age of an animal by measuring, analyzing, comparing, calculating, and presenting age features and the age of animals such as deer, moose, elk, bovids, pronghorns and the like from digital data and/or photographs of the animals.

Abstract: A method for characterizing the uniformity of a material includes selecting a set of size scales at which to measure uniformity within an area of interest in an image of the material; suppressing features in the image smaller than a selected size scale of interest within the set of size scales; dividing the image into patches equal to the size scale of interest; and calculating a uniformity value within each patch.

Abstract: A method of reconstructing a tomography image and a tomography apparatus configured to reconstruct a tomography image are provided. Tomography data corresponding to a moving object is acquired by performing a tomography scan on the object, and a tomography image is reconstructed using prior images obtained based on the acquired tomography data.

Abstract: A system and method for monitoring vehicle traffic and collecting data indicative of pedestrian right of way violations by vehicles is provided. The system comprises memory and logic for monitoring traffic intersections and recording evidence indicating that vehicles have violated pedestrian right of way. Two sensor modalities collecting video data and radar data of the intersection under observation are employed in one embodiment of the system. The violation evidence can be accessed remotely by a traffic official for issuing of traffic citations.

Abstract: A topographical measurement system of a specular object and a topographical measurement method thereof are disclosed. The topographical measurement system has a screen, an image capturing device, and an image processing device. The specular object reflects a fringe pattern from the screen, so as to form a virtual image of the fringe pattern. The virtual image is therefore analyzed to obtain a surface profile of the specular object.

Abstract: Motorized machinery, such as overhead cranes, are widely used in industries all over the world. It is not easy to move crane payloads without oscillation, increasing the likelihood of obstacle collisions and other accidents. One possible solution to such problems could be aiding the operator with a dynamic map of the workspace that shows the current position of obstacles. This method discloses the use of a camera to take images of the workspace, using imaging blurring to smooth the obtained images, and drawing contours to produce an individual, near real-time map of the workspace. In one or more embodiments, known obstacles may be tagged in a manner which is readable by the camera. This image and historical images of the same workspace are layered on top of one another to produce a map of obstacles on the workspace floor. This imaging and layering can produce a near real-time map of obstacles that can be used to guide heavy motorized machinery around a workspace without incident.

Abstract: An image registration method includes acquiring first image data for a target object that includes first coordinate information; acquiring second image data for the target object that includes second coordinate information, by using a probe; and registering the first image data with the second image data, using the first coordinate information and the second coordinate information. According to the image registration method, image registration between a plurality of pieces of volume data adjusted so that their coordinate axes correspond to each other is performed, whereby a high-quality registered image may be quickly and simply obtained.

Abstract: A magnetic resonance imaging (MRI) apparatus and a method of processing an MR image are provided. The MRI apparatus includes a scanner configured to acquire a first image that is a T1-weighted image and a second image that is a fluid attenuated inversion recovery (FLAIR) image by performing an MRI scan on a brain. The MRI apparatus further includes an image processor configured to determine a white matter region in the second image based on the first image and the second image, and detect a white matter hyperintensity (WMH) region in the determined white matter region. The MRI apparatus further includes an output interface configured to display the detected WMH region and a change in the WMH region over time.

Abstract: The disclosure relates to devices, systems and methods for image registration and annotation. The devices include computer software products for aligning whole slide digital images on a common grid and transferring annotations from one aligned image to another aligned image on the basis of matching tissue structure. The systems include computer-implemented systems such as work stations and networked computers for accomplishing the tissue-structure based image registration and cross-image annotation. The methods include processes for aligning digital images corresponding to adjacent tissue sections on a common grid based on tissue structure, and transferring annotations from one of the adjacent tissue images to another of the adjacent tissue images.

Abstract: A confidence map for optical flow gradients is constructed calculating a set of census texture gradients for each pixel of an image, filtering said gradients and extracting confidence values from said gradients using a plurality of decision tree classifiers. A confidence map is then generated from said confidence values.

Abstract: A non-transitory computer-readable storage medium storing an image processing device that causes a computer to execute a process includes: individually detecting, as a detection target candidate, a first portion of each of detection targets that appear in an image imaged by an imaging device, by using a first detection area corresponding to the first portion; detecting a detection target for a detection target candidate corresponding to a detection target that is not covered by another detection target and that is included in the detected detection target candidates, by using a second detection area corresponding to a second portion including the first portion; and detecting a detection target for a detection target candidate corresponding to a detection target, covered by another detection target and included in the detected detection target candidates, by using a third detection area that corresponds to a third portion including the first portion.

Abstract: A system includes a processor configured to obtain an image of a vehicle plate. The processor is also configured to determine identification characters present in the image. The processor is further configured to compare the identification characters to a list of sought-vehicle plates and report a match between the identification characters and a plate on the list of sought-vehicle plates.

Abstract: The present invention involves a software based system and method which provides a series of training images with or without retained surgical items in scans that are used to train human physicians to detect such items at varying levels of difficulty.

Abstract: An electronic device is described. The electronic device includes a processor. The processor is configured to obtain a plurality of images. The processor is also configured to obtain global motion information indicating global motion between at least two of the plurality of images. The processor is further configured to obtain object tracking information indicating motion of a tracked object between the at least two of the plurality of images. The processor is additionally configured to perform automatic zoom based on the global motion information and the object tracking information. Performing automatic zoom produces a zoom region including the tracked object. The processor is configured to determine a motion response speed for the zoom region based on a location of the tracked object within the zoom region.