Abstract: An ultrasonic image processing system comprising: a data receiving module for acquiring multiple sets of three-dimensional image data corresponding to a single target tissue; an image analyzing module for dividing, on the basis of any one group of the multiple sets of three-dimensional image data, a target region to obtain a three-dimensional volume structure boundary of the target region, and a safety boundary generated by outward expansion or inward contraction along the three-dimensional volume structure boundary; an image mapping module for establishing a spatial mapping relation between the multiple sets of three-dimensional image data, and according to the spatial mapping relation, mapping the three-dimensional volume structure boundary and the safety boundary of the target region to the other sets of three-dimensional image data; and an image marking module for marking, in a displayed image, corresponding three-dimensional volume structure boundaries and safety boundaries of the target region in the mu

Abstract: A method is for determining a two-dimensional mammography dataset. The method includes the receipt of a three-dimensional mammography dataset of an examination region via an interface. The method furthermore includes the first determination of a two-dimensional mammography dataset of the examination region by application of a trained generator function to the three-dimensional mammography dataset via a processing unit, wherein the trained generator function is based on a trained GA network. Through this method, it is possible efficiently to create two-dimensional mammography datasets, which are visually similar to real two-dimensional mammography datasets and can therefore be appraised with standardized methods.

Abstract: Examples associated with template generation are disclosed. One example includes identifying a set of edges of a set of labels from an image of a sheet of labels. Members of the set of labels in an unused state are also identified. A printing template is generated for the sheet of labels based on the edges of the set of labels and based on which members of the set of labels are in an in-used state.

Abstract: A method for reconstructing an object via tomography is provided. The method includes: acquiring a plurality of projections of the object at different angles via an imaging system; backprojecting each projection of the plurality to generate an intermediate image of each projection via at least one processor of the imaging system; and applying a filter to each intermediate image via the at least one processor. The filter is based at least in part on a noise model and an image model.

Abstract: Processing techniques of volumetric anatomic and vector field data from volumetric phase-contrast MRI on a magnetic resonance imaging (MRI) system are provided to evaluate the physiology of the heart and vessels. This method includes the steps of: (1) correcting for phase-error in the source data, (2) visualizing the vector field superimposed on the anatomic data, (3) using this visualization to select and view planes in the volume, and (4) using these planes to delineate the boundaries of the heart and vessels so that measurements of the heart and vessels can be accurately obtained.

Abstract: A method including receiving image data including encoded image data to be decoded to generate decoded image data representing an image and additional data to be read and used to modify the decoded image data. The encoded image data is decoded using an image decoder to generate the decoded image data and the decoded image data is modified based on the additional data to generate modified decoded image data representing the image after modification. Graphics computer program code associated with a programming interface for a graphics processor is derived from at least part of the additional data. The graphics computer program code is for modification of the decoded image data. The decoded image data, along with the graphics computer program code, is passed to the programming interface for modification of the decoded image data.

Abstract: Techniques where a computer or mobile device performs video analysis of a person performing a physical activity such as a basketball jump shot are described. The computer or mobile device performs video analysis based on one or more reference skeletons. The reference skeleton may be superimposed over captured video of the person performing the physical activity or compared to a generated player skeleton based on the captured video to determine derivation from the reference skeleton in the physical activity performed by the person.

Abstract: There are provided a position recognition apparatus for printed circuit board (PCB), a position recognition and processing apparatus, and a printed circuit board manufacturing method. A position recognition apparatus for PCB configured to recognize a mounting position of an LED package on a PCB, the LED package being including a phosphor emitting fluorescence in operation, includes: an illuminating means configured to irradiate the PCB with light containing a blue component; an observation filter configured to selectively pass at least blue light of reflected light from the PCB and fluorescence from the phosphor and cut light in a wavelength region longer than a wavelength of the blue light; an imaging means configured to capture an image of the light passed by the observation filter; and an image processing means configured to calculate a position of the phosphor on the PCB, based on image data captured by the imaging means.

Abstract: Optical imaging systems and methods are disclosed herein for investigating and analyzing one or more characteristics of a spray, including spray front velocity, spray sheet length, spray break-up dynamics, drift potential, and drop-size distribution. Optical imaging systems disclosed herein include an image acquisition device, one or more illumination source, a processor for processing and analyzing image data, a background, and a spray system that includes at least a nozzle. The image acquisition device and illumination sources are positioned on the same side of the spray. The processor has a first algorithm to generate a feedback correction factor and a second algorithm to identify droplets and develop a drop-size distribution for the spray. Optical imaging methods for determining spray characteristics are also disclosed and generally include the steps of providing an imaging system, capturing images of the spray with the imaging system, processing the images, and analyzing the images.

Abstract: Disclosed are a system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for digital avatars. An interface module receives a request message to determine measurements of a user. A graphics engine sub-module accesses a first set of data that is indicative of locations in a first image of a user. The locations are points of the user's body in the first image. The graphics engine sub-module accesses a second set of data that is indicative of a first physical-space measurement of the user. A computational sub-module determines, based at least partly on the locations and the first physical-space measurement characteristic, an estimate of a second physical-space measurement of the user.

Abstract: A method of modeling distributions of post-lithography critical dimensions includes the following steps. A plurality of aerial images of respective portions of a physical design layout of a semiconductor wafer are generated, and the plurality of aerial images are employed as training data. In the method, first and second portions of a neural network architecture are generated. The first portion includes a neural network which is shared by a plurality of output channels, and the second portion includes a plurality of neural networks, wherein each of the plurality of neural networks respectively correspond to one of the plurality of output channels. The method further includes training the first and second portions of the neural network architecture with the training data, and outputting the distributions of the post-lithography critical dimensions based on the plurality of output channels.

Abstract: An image processing apparatus includes a generation unit that generates, in a case where a small-sheet image in a first image is unsuccessfully extracted and results in multiple small-sheet images, a second image including the small-sheet images that are combined.

Abstract: Systems and methods for ensuring that images are compressed in a format that may be decompressed at a speed that is acceptable to a particular user and/or viewing environment are disclosed herein.

Abstract: Methods and systems for identifying a source of nuisance defects on a wafer are provided. One method includes detecting defects on a wafer by applying a hot threshold to output generated for the wafer by a detector of an inspection subsystem such that at least a majority of the detected defects include nuisance defects and determining locations of the detected defects with respect to design information for the wafer. In addition, the method includes stacking information for the detected defects based on the determined locations relative to a structure on the wafer such that the detected defects having the same locations relative to the structure are coincident with each other in results of the stacking. The method further includes identifying a source of the nuisance defects based on the results of the stacking.

Abstract: A method, a system, and a computer-readable recording medium for image-based object tracking are provided. The method includes following steps. A video stream including a plurality of images is received. The video stream is generated through photographing an enclosed space by an image capturing device, and a moving range of a plurality of observed objects is limited to the enclosed space. A plurality of moving objects are detected from the video stream, and frames associated with each of the moving objects are generated for the images. The images include a current image and a previous image. By analyzing position projecting relationship between current frames in the current image and previous frames in the previous image, linking relationship between the current frames in the current image and the observed objects is established. The observed objects in the enclosed space are tracked according to the established linking relationship.

Abstract: A method of categorising vegetation is disclosed, the method comprising: inputting and storing in a memory information related to a ground observation; determining the identity of the vegetation of said observations corresponding to an existing memory entry; determining a characteristic for said vegetation in dependence on said ground observation; and updating said memory with said characteristic.

Abstract: Embodiments can provide a method for atlas-based contouring, comprising constructing a relevant atlas database; selecting one or more optimal atlases from the relevant atlas database; propagating one or more atlases; fusing the one or more atlases; and assessing the quality of one or more propagated contours.

Abstract: Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

Abstract: The present technology relates to an information processing apparatus, an information processing method, and a program for suppressing the occurrence of false recognition. A road surface region estimating section estimates a road surface region in a first image captured of a predetermined imaging range. A non-polarized region extracting section extracts a non-polarized region from a second image captured of the imaging range. A low-confidence level region estimating section estimates a low-confidence level region for an object with a low first confidence level obtained by a first sensor within a measurement range of the first sensor in the imaging range on the basis of information indicating the road surface region and the non-polarized region.

Abstract: [Object] To provide a control system, an information processing device, a control method, and a program capable of capturing a clear iris image having no reflected light of illumination without interfering with a user's field of view. [Solution] A control system including: an illumination section configured to irradiate any one of left and right eyes with light; an imaging section configured to image the other eye different from the one of the left and right eyes; and a control section configured to perform control to cause the imaging section to image the other eye while the illumination section is irradiating the one of the left and right eyes with light.