Abstract: A method and apparatus for autonomously recognizing at least one object in an image is provided. The method includes obtaining an image and providing an image analyzer for autonomously analyzing the image and autonomously identifying at least one item of information regarding at least one object in the image. The at least one item of information regarding the at least one object may be identified without regard to the at least one object's appearance, location, or orientation in the image and without requiring any outside intervention or human input, so that information regarding the at least one object, such as the at least one object's actions, movements, and locations may be obtained from the image.

Abstract: A system and methods for polyp detection using optical colonoscopy images are provided. In some aspects, the system includes an input configured to receive a series of optical images, and a processor configured to process the series of optical images with steps comprising of receiving an optical image from the input, constructing an edge map corresponding to the optical image, the edge map comprising a plurality of edge pixel, and generating a refined edge map by applying a classification scheme based on patterns of intensity variation to the plurality of edge pixels in the edge map. The processor may also process the series with steps of identifying polyp candidates using the refined edge map, computing probabilities that identified polyp candidates are polyps, and generating a report, using the computed probabilities, indicating detected polyps. The system also includes an output for displaying the report.

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: A task assistance system includes: a location detection unit (101) for setting a sensing plane in a first face side of a display means capable of displaying a plurality of articles and calculating location information of a hand located on the sensing plane or location information of an object different from the hand; a region setting unit (102) for setting a plurality of sensing regions on the sensing plane using the location information of the hand or the location information of the object calculated by the location detection unit (101); and a pass-through region determination unit (104) for determining which one of the plurality of sensing regions a hand extended to the display means from the first face side has passed through using the location information of the hand calculated by the location detection unit (101), after the region setting unit (102) sets the plurality of sensing regions.

Abstract: A computing device for identifying a gesture performed by a tracked object in an image stream, said computing device comprising a memory and a controller, wherein said controller is configured to: determine a movement vector for the tracked object, compare the movement vector against a reference library of gestures, and thereby identify a gesture matching the movement vector, wherein said movement vector comprises at least one partial movement having a direction being identified by a relative angle and wherein said comparison is based on said relative angle.

Abstract: An apparatus recognizes an object using a hole in a depth image. An apparatus may include a foreground extractor to extract a foreground from the depth image, a hole determiner to determine whether a hole is present in the depth image, based on the foreground and a color image, a feature vector generator to generate a feature vector, by generating a plurality of features corresponding to the object based on the foreground and the hole, and an object recognizer to recognize the object, based on the generated feature vector and at least one reference feature vector.

Abstract: Apparatus and methods comprise examination of a subject using images of the subject. The images can provide a non-invasive analysis technique and can include a plurality of images of a portion of the subject at different times a temperature stimulus applied to the subject. An image of the portion of the subject can be aligned such that each pixel of the image corresponds to the same point on the subject over a sequence of images of the portion. The sequence of images can be processed after aligning the images such that data is extracted from the images. The extracted data can be used to make decisions regarding the health status of the subject. Additional apparatus, systems, and methods are disclosed.

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: An image processing apparatus includes an image acquiring unit that reads the front surface of a medium irradiated with first light to acquire a first image, and reads the front surface of the medium irradiated with second light including ultraviolet rays to acquire a second image, by driving an image sensor, a first corrected-image generating unit that generates a first corrected image by decreasing brightness of the first image, a second corrected-image generating unit that generates a second corrected image by increasing contrast of the second image, and a synthetic image generating unit that generates a synthetic image by synthesizing the first corrected image and the second corrected image.

Abstract: A computer-implemented method for performing isotropic reconstruction of Magnetic Resonance Imaging (MRI) data includes receiving a stack of slices acquired by an MRI device in two or more directions and reslicing the stack of slices into (i) an acquired view stack comprising high-resolution slices acquired in-plane, and (ii) a reslice stack comprising degraded slices acquired out of plane. An estimated slice profile is generated based on the stack of slices and the acquired view stack is convolved with the estimated slice profile to yield a simulated distorted slice stack. The simulated distorted slice stack is subtracted from the acquired view stack to yield a high-frequency band estimate and the high-frequency band estimate is combined with the reslice stack to yield isotropic reconstruction results.

Abstract: An image processing system, an image processing method, and a program capable of suppressing errors related to association of a person appearing in a video are provided. An image processing system includes: an image acquiring unit which accepts input of videos captured by a plurality of video cameras; a next camera predicting unit which predicts a video camera on which an object detected in a video is to appear next; and a display control unit which announces a confusability of an object according to a similarity between the detected object and another object that is likely to appear in a video of the video camera predicted by the next camera predicting unit and which causes a display device to display a video from the video camera predicted by the next camera predicting unit.

Abstract: A method includes constructing a variation image from an ovarian follicle B-mode ultrasound image, wherein the variation image is indicative of local variations in the ovarian follicle B-mode ultrasound image, constructing a binary image from the variation image and the ovarian follicle B-mode image, identifying connected components in the binary image, wherein each connected component corresponds to a different ovarian follicle candidate, constructing a coarse follicle mask from the binary image where each identified connected component represents a mask for a corresponding different ovarian follicle candidate in the binary image, optimizing contours of the follicles in the coarse follicle mask, and segmenting one or more ovarian follicles from the ovarian follicle B-mode ultrasound image with the optimized follicle mask.

Abstract: In order to provide an object sensing device whereby, among limited computation resources, performance is improved in sensing an object when sense processing a plurality of objects to be sensed, an object sensing device includes image capture units which capture images external to a host vehicle, and a processing device which sense processes objects to be sensed from the images which are captured by the image capture units, said processing device further including: a scene analysis unit which analyzes a travel scene of the host vehicle; a process priority change unit which changes a sensing process priority of the object to be sensed on the basis of the travel scene which is analyzed by the scene analysis unit; and an object to be sensed sensing unit which carries out a sensing of the object to be sensed on the basis of the sensing process priority which is changed by the process priority change unit.

Abstract: A determination unit makes a determination as to whether or not at least either one of at least a portion of an upper end vertebra and at least a portion of a lower end vertebra is included in a first medical image of a subject. If the determination is negative, an image obtaining unit obtains a second medical image that allows recognition of a label of the vertebra of the subject. A labeling unit aligns the first medical image with the second medical image and labels the vertebra included in the first medical image.

Abstract: There is provided a system and method for grouping a plurality of individuals, each individual of the plurality of individuals having a corresponding transactional segment, the system comprising a memory storing a group identification application, a processor for executing the group identification application to identify an o-space center of a first group, wherein the o-space center is an intersection of a plurality of transactional segments, obtain a non-parametric lower-body orientation probability distribution for each of the plurality of individuals, based on the o-space center, and determine that a first plurality of individuals from the plurality of individuals belong to the first group based on the non-parametric lower-body orientation probability distribution of each individual of the plurality of individuals, wherein each of the first plurality of individuals has a corresponding one of the plurality of transactional segments that intersect with one another.

Abstract: An image recognition approach employs both computer generated and manual image reviews to generate image tags characterizing an image. The computer generated and manual image reviews can be performed sequentially or in parallel. The generated image tags may be provided to a requester in real-time, be used to select an advertisement, and/or be used as the basis of an internet search. In some embodiments generated image tags are used as a basis for an upgraded image review. A confidence of a computer generated image review may be used to determine whether or not to perform a manual image review.

Abstract: A method, a device, a system and a computer program are for controlling limited-area computer tomography imaging. The method includes determining location data of a first imaging object when the first imaging object is positioned in an imaging area, determining reference location data related to the first imaging object and adjusting the imaging area based on the location data of the first imaging object and said reference location data for imaging a second imaging object. The first and the second imaging object can be located at a distance determined by the reference location data from each other or symmetrically in relation to the reference location data.

Abstract: The invention provides methods and systems for correcting translational distortion in a medical image of a lumen of a biological structure. The method facilitates vessel visualization in intravascular images (e.g. IVUS, OCT) used to evaluate the cardiovascular health of a patient. Using the methods and systems described herein it is simpler for a provider to evaluate vascular imaging data, which is typically distorted due to cardiac vessel-catheter motion while the image was acquired.

Abstract: An image processing apparatus comprises data receiving circuitry for receiving a volumetric imaging data set which is representative of a volume, the volume comprising a region of interest and lighting circuitry configured to place a virtual light source outside the region of interest and to apply a lighting simulation process to simulate light from the virtual light source. The applying of the lighting simulation process is at least partially different for a first lighting region than for a second lighting region, the first lighting region comprising at least part of the volume outside the region of interest and the second lighting region comprising at least part of the region of interest.

Abstract: A method and system for managing nitrogen applied by nitrogen application equipment to a geographic region includes determining a growth stage for the geographic region using a crop module, and determining a nitrogen change for the geographic region based on the growth stage using a nitrogen change module, which can additionally or alternatively include determining an amount of nitrogen initially available for a geographic region.