Abstract: A method of measuring a characteristic optionally a clinical characteristic of a cancer test cell sample comprising: characterizing nuclear organization of DNA of the test cell sample: obtaining DNA image data of the cancer test cell sample nuclei using microscopy, processing the image data using granulometry to obtain one or more data points corresponding to DNA occupied space and/or DNA low space; and quantifying a feature of the DNA occupied space and/or a feature of the DNA low space.

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 system that helps facilitate the creation of more comprehensive official radiological reports by remotely accessing a patient's prior outside imaging studies along with official radiological reports through a cloud server for comparison to current studies performed at a medical institute. The system includes universal interface software that will allow for previous patient studies to be automatically pulled for direct comparison by using advanced automatic tagging techniques. Additionally the universal interface software allows for more efficient accession number assignment when official second opinions are requested, and a means for interfacility peer review.

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: There is provided an image processing device including: a data storage unit that stores object identification data for identifying an object operable by a user and feature data indicating a feature of appearance of each object; an environment map storage unit that stores an environment map representing a position of one or more objects existing in a real space and generated based on an input image obtained by imaging the real space using an imaging device and the feature data stored in the data storage unit; and a selecting unit that selects at least one object recognized as being operable based on the object identification data, out of the objects included in the environment map stored in the environment map storage unit, as a candidate object being a possible operation target by a user.

Abstract: A method for checking, in particular the authenticity and/or the nominal value of a value document having luminescent feature substances, comprises: a1) the step of carrying out a location-specific measurement of first luminescence intensities at a first emission wavelength at different locations of the value document that have the location coordinates, to thereby obtain measurement value pairs; b1) the step of statistically analyzing the first luminescence intensities measured in dependence on the individual location coordinates, by determining at least one statistical parameter using a statistical method; and c1) the step of comparing the statistical parameter determined in the step b1) with one or more threshold values.

Abstract: An apparatus and method for determining an image similarity based on image features. In one aspect, the image similarity determination is based on an image comparison tool. The image comparison tool may be trained, by a machine-learning system, to estimate a similarity between images based on a subset of image data comprised by image features. The estimate may be an estimate of how similar structures found in the images would be following a geometric transformation of some of the structures. In one aspect, an atlas image for performing automatic segmentation of an image is determined according to a comparison made using the image comparison tool.

Abstract: The present invention provides an apparatus and method for reconstructing a panoramic X-ray image. The apparatus includes a storage unit for storing image data of multiple image layers; an image processing unit for determining a reference image layer among the multiple image layers, finding blocks that correspond to at least one block designated in the reference image layer from other image layers, selecting a clearest block by comparing image data of the corresponding blocks, and reconstructing the reference image layer by replacing the designated block in the reference image layer with the clearest block selected in any of the other image layers, if the selected block is not the same as the designated block in the reference image layer; and a display unit for displaying a panoramic image of the reconstructed reference image layer.

Abstract: A system and method is provided for identifying an object along a road, where the object may be represented by a bounding box, and projecting a set of obstacle points within the bounding box corresponding to the identified object. In one aspect, a two-dimensional plane oriented perpendicular to a direction of the movement of the vehicle may be identified. In another aspect, the areas of the plane that may be occupied based on the set of obstacle points may be determined to generate a contour of the identified object. Thereafter, the height profiles of the identified object and the vehicle may be determined and identified, respectively. Based on the height profiles, a minimum clearance may be determined.

Abstract: The present invention addresses the problem of acquiring information regarding a component or product and identifying said component or product easily and inexpensively. The present invention has an image-feature storage, an extracting means, an acquiring means, and an identifying means. The image-feature storage stores image features of texture patterns formed on components or products. The extracting means extracts an n-dimensional-symbol image and a texture-pattern image from a taken image containing at least the following: an n-dimensional symbol (n being a natural number) that represents information regarding a component, a product, or a product comprising said component; and a texture pattern formed on said component or product. The acquiring means acquires, from the extracted n-dimensional-symbol image, the aforementioned information regarding the component or product.

Abstract: The invention concerns automated methods for assessing tissue morphometry in digital images of tissue sections derived from small intestine biopsy samples from patients submitted for evaluation of celiac disease. The methods generally involve digital image analysis of tissue section images, and specifically involve post-processing each image to produce a binary mask capturing the tissue area footprint on the glass slide. Virtual stereology probes are placed on each image and assessed to estimate the ratio of the surface area to volume of the tissue specimen. The surface area to volume ratio is used to diagnose celiac disease and make inferences about the severity of celiac disease in those individuals with a positive diagnosis of celiac disease.

Abstract: Disclosed is a method of changing at least one of a direction and position of a plane selection line for acquiring an image of a plane of interest of an object. The method includes acquiring a medical image of an object, displaying a first plane image acquired along a first plane selection line of the medical image, setting a pattern which is used to change at least one of the direction and position of the plane selection line, changing at least one of the direction and position of the plane selection line, based on the set pattern, and displaying a second plane image acquired along the changed plane selection line.

Abstract: An X-ray computed tomography apparatus according to embodiments includes image processing circuitry and decomposition circuitry. The image processing circuitry is configured to perform an image processing on each of a plurality of pieces of monochromatic X-ray image data of different energies, the plurality of pieces of monochromatic X-ray image data being generated from projection data. The decomposition circuitry is configured to decompose, for each of a plurality of basis materials specified in advance, the plurality of pieces of monochromatic X-ray image data after the image processing, to generate basis material image data of each of the plurality of basis materials.

Abstract: A system and method for automated polyp detection in optical colonoscopy images is provided. In one embodiment, the system and method for polyp detection is based on an observation that image appearance around polyp boundaries differs from that of other boundaries in colonoscopy images. To reduce vulnerability against misleading objects, the image processing method localizes polyps by detecting polyp boundaries, while filtering out irrelevant boundaries, with a generative-discriminative model. To filter out irrelevant boundaries, a boundary removal mechanism is provided that captures changes in image appearance across polyp boundaries. Thus, in this embodiment the boundary removal mechanism is minimally affected by texture visibility limitations. In addition, a vote accumulation scheme is applied that enables polyp localization from fragmented edge segmentation maps without identification of whole polyp boundaries.

Abstract: A system and method is provided for automated polyp detection in optical colonoscopy images. The system includes an input configured to acquire a series of optical images, and a processor configured to process the optical images. Processing steps include performing a boundary classification with steps comprising locating a series of edge pixels using at least one acquired optical image, selecting an image patch around each said edge pixel, performing a classification threshold analysis on each image patch of said edge pixels using a set of determined boundary classifiers, and identifying, based on the classification threshold analysis, polyp edge pixels consistent with a polyp edge. Processing steps for the processor also include performing a vote accumulation, using the identified polyp edge pixels, to determine a polyp location. The system also includes an output configured to indicate potential polyps using the determined polyp location.

Abstract: A vision system for a vehicle includes a forward viewing camera that has a field of view through the windshield of the vehicle and is operable to capture image data. An image processor is operable to process image data captured by the forward viewing camera. Responsive at least in part to processing of captured image data, a road characteristic of a road along which the vehicle is traveling is detected. Responsive at least in part to processing of captured image data, other vehicles exterior the equipped vehicle are detected. Responsive at least in part to processing of captured image data, road curvature of the road along which the equipped vehicle is traveling is determined. Responsive at least in part to processing of captured image data, a school bus stopping signal of a school bus present within the field of view of the forward viewing camera may be detected.

Abstract: In some implementations, a computing device can track an object from a first image frame to a second image frame using a self-correcting tracking method. The computing device can select points of interest in the first image frame. The computing device can track the selected points of interest from the first image frame to the second image frame using optical flow object tracking. The computing device can prune the matching pairs of points and generate a transform based on the remaining matching pairs to detect the selected object in the second image frame. The computing device can generate a tracking confidence metric based on a projection error for each point of interest tracked from the first frame to the second frame. The computing device can correct tracking errors by reacquiring the object when the tracking confidence metric is below a threshold value.

Abstract: A method for estimating a distance between a first target and a second target in an image is to be implemented using a distance estimation system that includes a processor module. In the method, the processor module is programmed to: generate an image depth map associated with the image; generate first position information associated with a first position which corresponds to the first target in the image, and second position information associated with a second position which corresponds to the second target in the image; and compute an estimate of a distance between the first target and the second target based on at least the image depth map, the first position information, and the second position information.

Abstract: An automatic process of predictive determination of the position and movements of the skin of a subject in a zone of interest, with the subject breathing freely or in an assisted manner, includes preliminarily acquiring multiple configurations of the skin profile in axial planes, at given successive times, in different respiratory positions, and for each axial plane, constructing at least one deformable digital model starting from different skin profiles, then noting, in a repetitive manner, the actual position of a point on the skin at the level of each axial plane, whose position is significantly modified during inhalation and exhalation phases, and providing, essentially in real time, a simulation of the skin profile in each axial plane, as a function of the actual position noted, and an evolving three-dimensional representation of the skin at the level of the zone of interest, by interpolation between the different axial planes.

Abstract: There is provided an image processing apparatus including a distance information generation portion configured to generate first distance information about an object to be measured based on a phase difference between images provided by a plurality of first cameras having a first base length, and generate second distance information about the object to be measured based on a phase difference between images provided by a plurality of second cameras having a second base length that is different from the first base length; and a distance extraction portion configured to extract distance information from an imaging position and the object to be measured based on the first distance information and the second distance information.