Abstract: A key identification system that includes a key identification system housing, a key clamp, a key ring support tray, and two digital identifiers is disclosed. The key identification system housing may include a key receiving aperture extending through housing and sized to receive at least some of a key blade of a key. The key clamp is positioned adjacent to the key receiving aperture and allows the system to maintain the key blade in a fixed position within the key identification system housing when the key is inserted into the key receiving aperture. The key ring support tray is typically coupled to the key identification system housing below the key receiving aperture. The two digital identifiers are positioned within the key identification system housing and designed to capture key blade information.

Abstract: Methods and systems for design based sampling and binning for yield critical defects are provided. One method includes aligning each image patch in each inspection image frame generated for a wafer by an optical subsystem of an inspection system to design information for the wafer. The method also includes deriving multiple layer design attributes at locations of defects detected in the image patches. In addition, the method includes building a decision tree with the multiple layer design attributes. The decision tree is used to separate the defects into bins with different yield impacts on a device being formed on the wafer. The method also includes binning the defects with the decision tree.

Abstract: A medical image processing apparatus comprises a memory configured to store medical image data representative of a tissue structure and a processing circuitry configured to operationally connect to the memory, extract regions from the medical image data by performing threshold processing of the medical image data using each of a plurality of threshold values, select regions meeting at least one predetermined condition from among the extracted regions, and determine a region representative of the tissue structure in the medical image data based on the selected regions.

Abstract: A method for processing an image includes computing a thresholding score for an image using a plurality of threshold values to provide a plurality of thresholding scores for the image, determining a selected threshold value based on the plurality of thresholding scores, processing the image or another image using the selected threshold value. Each thresholding score of the plurality of thresholding scores may be based on a transition pixel count for a binary image that is derivable from the image using a specified threshold value of the plurality of thresholding values. A computer system and computer program product corresponding to the method are also disclosed herein.

Abstract: In part, the disclosure relates to intravascular data collections and generation of representations thereof include one or more view of regions associated with side branches or arteries such as a carina or bifurcation. In one embodiment, accessing a set of intravascular data stored in machine readable memory; performing side branch detection with regard to the intravascular data to identify one or more side branches; and identifying a plurality of frames for the one or more side branches is performed. An automatic viewing angle that is toggleable is used in one embodiment.

Abstract: A method for identifying biomarker-positive tumor cells is disclosed. The method includes, for example, reading a first digital image and a second digital image into memory, the first and second digital image depicting the same area of a first slide; identifying a plurality of nuclei and positional information of said nuclei by analyzing the light intensities in the first digital image; identifying cell membranes which comprise the biomarker by analyzing the light intensities in the second digital image and by analyzing the positional information of the identified nuclei; and identifying biomarker-positive tumor cells in said area, wherein a biomarker-positive tumor cell is a combination of one identified nucleus and one identified cell membrane that surrounds the identified nucleus.

Abstract: An image processing apparatus includes an image acquisition unit adapted to acquire a radiation image capturing an object, a function acquisition unit adapted to acquire a point spread function from the radiation image, and a determination unit adapted to determine, based on a state of the point spread function, presence/absence of a movement of the object in the radiation image.

Abstract: The embodiments relate to a reconstructing an image of an examination object, a medical imaging apparatus, and a computer program product where a first image data record is acquired with a first imaging modality and at least one further image data record of at least one further imaging modality is provided. At least one first image is reconstructed on the basis of the first image data record using the at least one further image data record.

Abstract: A device (10), a method and a computer program detect an optical image and generate optical image data of a patient positioning device (20). The device (10) is configured to detect optical image and generate optical image data of a patient positioning device (20) and to determine the position of at least two partial segments (20a; 20b; 20c; 20d) of the patient positioning device (20) on the basis of the image data. The device (10) has, further, an interface (16) for outputting information on the position of the at least two partial segments (20a; 20b; 20c; 20d).

Abstract: A system and method for characterizing tissues of a subject using multi-parametric imaging are provided. In some aspects, the method includes receiving a set of multi-parametric magnetic resonance (“MR”) images acquired from a subject using an MR imaging system, and selecting at least one region of interest (“ROI”) in the subject using one or more images in the set of multi-parametric MR images. The method also includes performing a texture analysis on corresponding ROIs in the set of multi-parametric MR images to generate a set of texture features, and applying a classification scheme, using the set of texture features, to characterize tissues in the ROI. The method further includes generating a report indicative of characterized tissues in the ROI.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a chronological transition of signal intensities for each of the pixels in a plurality of X-ray images chronologically acquired by using a contrast media. The processing circuitry is configured to correct the chronological transition of the signal intensities on the basis of a level of similarity between at least two mutually-different signal intensities within the chronological transition of the signal intensities.

Abstract: The method comprises identifying, in a 3D volume, a zone of a first type (H), a zone of a second type (BZ) and a zone of a third type (C) and:—automatically identifying as a candidate channel (bz) a path running through the zone of a second type (BZ) and extending between two points of the zone of a first type (H); and—automatically performing, on a topological space (H_and_BZ_topo), homotopic operations between the candidate channel (bz) and paths (h) running only through the zone of a first type (H), and if the result of said homotopic operations is that the candidate channel (bz) is not homotopic to any path running only through the zone of a first type (H) identifying the candidate channel (bz) as a constrained channel. The computer program product implements the steps of the method of the invention.

Abstract: During LTS calculations, first gray level transformations are applied to DICOM images, followed by two-point correlation function based threshold calculations being applied to each pixel (voxel) in the given volume. Finally these calculations lead into estimation of textures within the given volume (LTS). This algorithm, which is initially implemented in JAVA programming language, can be replicated in other programming languages as well. The novel LTS image analysis approach implemented herein is shown to strongly correlates with severity of pulmonary diseases based upon standard PFT criteria, and these correlations were obtained using relatively low grayscale resolution (16 gray levels) images. This implies that the computer image analysis approach could reduce the risks of radiation exposure while providing a more objective assessment of disease progression for clinical and research applications.

Abstract: A compressive sensing system for dynamic video acquisition. The system includes a video signal interface including a compressive imager configured to acquire compressive sensed video frame data from an object, a video processing unit including a processor and memory. The video processing unit is configured to receive the compressive sensed video frame data from the video signal interface. The memory comprises computer readable instructions that when executed by the processor cause the processor to generate a motion estimate from the compressive sensed video frame data and generate dynamical video frame data from the motion estimate and the compressive sensed video frame data. The dynamical video frame data may be output.

Abstract: A method of analyzing a spinal region of a subject. The method includes steps of obtaining a first sagittal image of the spinal region of the subject using an upright magnetic resonance imaging unit; identifying a first vertebral edge on a first side of a first disc in the first sagittal image; identifying a second vertebral edge on a second side of the first disc in the first sagittal image; and determining a first angle between the first vertebral edge and the second vertebral edge for the first disc.

Abstract: Disclosed are systems, devices, and methods for detecting a trachea, an exemplary system comprising an imaging device configured to obtain image data and a computing device configured to generate a three-dimensional (3D) model, identify a potential connected component in a first slice image, identify a potential connected component in a second slice image, label the first slice image as a top slice image, label the connected component in the top slice image as an active object, associate each connected component in a current slice image with a corresponding connected component in a previous slice image based on a connectivity criterion, label each connected component in the current slice image associated with a connected component of the preceding slice image as the active object, and identify the active object as the trachea, based on a length of the active object.

Abstract: Intelligent image parsing for anatomical landmarks and/or organs detection and/or segmentation is provided. A state space of an artificial agent is specified for discrete portions of a test image. A set of actions is determined, each specifying a possible change in a parametric space with respect to the test image. A reward system is established based on applying each action of the set of actions and based on at least one target state. The artificial agent learns an optimal action-value function approximator specifying the behavior of the artificial agent to maximize a cumulative future reward value of the reward system. The behavior of the artificial agent is a sequence of actions moving the agent towards at least one target state. The learned artificial agent is applied on a test image to automatically parse image content.

Abstract: Embodiments of the present invention provide systems and methods to verify and/or obtain a registration of images obtained two image systems (such as a CT system and an MRI system) via the use of a third imaging modality (such as an ultrasound system).

Abstract: Provided is a method and apparatus for displaying an image showing an object. The method of displaying an image showing an object includes: displaying a model corresponding to the object; receiving a user input for selecting, from the model, a region of interest (ROI) included in the object; and displaying an image showing the ROI based on the user input.

Abstract: An electronic device and a method for automatically displaying an indication in a multi-dimensional media in the electronic device are provided. The method includes receiving the multi-dimensional media at the electronic device, displaying a first view port of the multi-dimensional media on a screen of the electronic device, detecting at least one region of interest (ROI) in the multi-dimensional media based on plurality of parameters, and displaying an indication indicating at least one second view port of the multi-dimensional media on the screen. The second view port includes at least one ROI.

Abstract: A counting apparatus and method for counting moving objects by calculating the number of moving objects in each region based on linear regression, calculating the number of increased moving objects in each region according to the undirected graphs built based on optical flows, and counting according to the number of the moving objects and the number of the increased moving objects in each region, repeated counting may be avoided, and fast and accurate real-time counting may be achieved.

Abstract: An image processing device and methods for performing an S-transform (ST) are provided herein. An example method of generating a compressed form of values of a one-dimensional ST for a time series and generating an approximate form of ST is provided herein. Additionally, an example method of determining local spectrum at a pixel is provided herein. Further, an example method of determining ST magnitudes and statistics in a region of interest (ROI) is provided herein.

Abstract: Implementations relate to an image cache used for replacing portions of images. In some implementations, a method includes examining a received image and detecting a subject depicted in a subject portion of the received image. The method determines a likelihood that the subject portion will be used as a replacement to be inserted in place of one or more corresponding subject portions in future images examined at a later time. The subject portion, or a reference thereto, is stored in an image cache in response to the determined likelihood being greater than a predetermined threshold. The image cache is available to be searched for the subject portion and other portions of images to replace corresponding portions of future images.

Abstract: An input image is partitioned into a plurality of image regions based on color and color differences. The partitioning comprises assigning a color difference value to plurality of locations within the input image. The partitioning further comprises assigning each of the plurality of locations to an image region of the plurality of image regions, where the assigning occurs according to a particular order. The particular order is based at least in part on color difference values associated with the plurality of locations. The input image may comprise markup. Data representing at least a particular portion of the markup in the input image based on the partitioning is identified. Data representing at least the portion of the markup may be used in a visualization of a customizable product or a manufacturing control associated with a customizable product.

Abstract: Embodiments of the present invention provide systems and methods to detect a moving anatomic feature during a treatment sequence based on a computed and/or a measured shortest distance between the anatomic feature and at least a portion of an imaging system.

Abstract: An integrated inertial motion capture system includes external position aiding such as optical tracking. The integrated system addresses and corrects misalignment between the inertial (relative) and positioning reference (external) frames. This is especially beneficial when it is not feasible to rely on magnetometers to reference the heading of the inertial system. This alignment allows effective tracking of yaw in a common reference frame for all inertial sensing units, even those with no associated positional measurements. The disclosed systems and methods also enable an association to be formed between the inertial sensing units and positional measurements.

Abstract: Systems and methods for grading the appearance of seeds are disclosed. In an embodiments, a system comprises: a memory device configured to store one or more color thresholds and a processing device communicatively coupled to the memory device. The processing device is configured to: receive data corresponding to a digital image, wherein at least a portion of the digital image includes a representation of a plurality of seeds; divide the digital image into a plurality of sections; and compare an amount of color included in a section of the plurality of sections to a color threshold of the one or more color thresholds.

Abstract: A test piece analyzer and test piece analyzing method which is compact and capable of analyzing a test piece even when mounted obliquely is provided. The test piece analyzer is configured by a test piece holder 11 that includes a mounting part MP for mounting a test piece provided with reagent pads, and an imaging unit 20, wherein the imaging unit 20 is configured to sequentially image the test piece along the longitudinal direction of the mounting part.

Abstract: According to this method, upon reception of a color transform associated with a main sequence, a transition sequence is generated from successive images of this main sequence such that the first image of this transition sequence is an image received after reception of this color transform, transition color transforms associated with images of said transition sequence are generated by blending a color transform associated with a previous main sequence or no color transform with the second color transform, and each image of this transition sequence is processed using the transition color transform associated with said image.

Abstract: Methods and systems for capturing motion and/or determining the shapes and positions of one or more objects in 3D space utilize cross-sections thereof. In various embodiments, images of the cross-sections are captured using a camera based on edge points thereof.

Abstract: An installation error detection apparatus of an onboard camera includes: an input portion that receives a photographed image; a storage portion that stores position information of a feature point of the vehicle; a feature point detection portion; a determination portion that determines whether the installation position of the onboard camera is the proper position; and a notification portion that informs installation defect of the onboard camera. The notification portion calculates the installation position of the onboard camera required to minimize the deviation amount and corrects the photographed image by the onboard camera. The notification portion detects the feature point and calculates a similarity degree of the position of the feature point and the position information. The notification portion determines the installation defect of the onboard camera and informs the installation defect. The notification portion determines that a vehicle body is deformed and informs the vehicle body being deformed.

Abstract: A digital magazine server determines a dominant color present in an image using a clustering algorithm. Color components of each pixel in the image are identified used to generate vectors associated with each pixel. Based on the vectors associated with the pixels, clusters including one or more pixels are generated using a clustering algorithm (e.g., k-means). The digital magazine server generates a characteristic vector for each cluster based on the vectors included in the cluster and selects a set of clusters based on their characteristic vectors. A centroid identifying the dominant color of the image is determined from the characteristic vectors of clusters in the set.

Abstract: A vehicle-mounted display device includes an input unit, a foreground image acquisition unit, a brightness value calculation unit, a background image conversion unit, a combining unit, and a display unit. The foreground image acquisition unit acquires a foreground image including vehicle information. The brightness value calculation unit calculates a brightness value of a background image input from the input unit. The background image conversion unit converts the background image input from the input unit in accordance with the brightness value of the background image and color information of a theme color. The combining unit combines the foreground image and the background image converted by the background image conversion unit, and the display unit displays an image combined by the combining unit.

Abstract: The present invention is notably directed to computer-implemented methods and systems for recovering an image. Present methods comprise: accessing signal data representing signals; identifying subsets of points arranged so as to span a region of interest as current subsets of points; reconstructing an image based on current subsets of points, by combining signal data associated to the current subsets of points; detecting one or more signal features in a last image reconstructed; for each of the detected one or more signal features, modifying one or more subsets of the current subsets, so as to increase, for each of the modified one or more subsets, a relative number of points at a location of said each of the detected one or more signal features.

Abstract: The present invention is notably directed to a computer-implemented method for image reconstruction. The method comprises: accessing elements that respectively correspond to measurement values, which can be respectively mapped to measurement nodes; and performing message passing estimator operations to obtain estimates of random variables associated with variable nodes, according to a message passing method in a bipartite factor graph. In this message passing method: the measurement values are, each, expressed as a term that comprises linear combinations of the random variables; each message exchanged between any of the measurement nodes and any of the variable nodes is parameterized by parameters of a distribution of the random variables; and performing the message passing estimator operations further comprises randomly mapping measurement values to the measurement nodes, at one or more iterations of the message passing method.

Abstract: A method for reconstructing a PET multi-bed image is provided, which may be applied to a PET scan having an axial overlapping region existed between every two adjacent beds. According to an example of the method, a combined set of PET projection data for at least two beds may be obtained by combining a set of PET projection data for at least two successive beds together in such a manner that two sets of PET projection data corresponding to an axial overlapping region between every two adjacent beds are added up. And then, a PET image for at least two beds may be reconstructed based on an image reconstruction iteration model and the combined set of PET projection data for the plurality of beds.

Abstract: An apparatus for editing information about a parameter for capturing a medical image includes a storage device configured to store at least one piece of group information including information about a change to the parameter for capturing the medical image and information about an associated parameter to be changed together with the parameter; a display configured to display a parameter change history including the at least one piece of group information; and a controller configured to control the display and the storage device, wherein the at least one piece of group information is arranged based on an order in which a parameter in the at least one piece of group information is changed.

Abstract: The described technology is directed towards having user interface objects rendered on a client device based upon provider data of at least part of a client provider graph. The client provider graph comprises a plurality of providers (graph nodes), in which each provider has provider data corresponding to user interface object data. The data of one provider has a reference set containing one or more references (e.g., edges) that each identify another provider, thus forming the graph. Client requests for other provider data are made based upon the reference set. The other provider data is received in response to the client requests, and is maintained at the client (e.g., in a client cache) to build the client graph.

Abstract: A method of processing borehole log data to create one or more image logs involve modelling the log data as components of an image in the form i(x, y)=l(x, y)×r(x, y) (1), in which i(x, y) is an image representative of the log data, l(x, y) denotes an illumination value of the image at two-dimensional spatial co-ordinates x, y, and r(x, y) denotes a surface reflectance value at the co-ordinates x, y. Equation (1) is transformed to a logarithmic domain, and a Fourier transform is obtained of the resulting logarithmic domain expression to obtain a Fourier domain expression. The Fourier domain expression is high-pass filtered, and an inverse Fourier transform is obtained of the resulting filtered Fourier domain expression. An exponential operation is performed on the result of inverse Fourier transform to obtain a filtered image model expression. Values of the filtered image model expression are mapped to respective color values across the range of the filtered image model expression values.

Abstract: One or more processors receive a dataset that includes a plurality of nodes. One or more processors identify relationships between a plurality of interacting nodes within the dataset. One or more processors determine relationship strength values between a plurality of interacting node pairs within the dataset. One or more processors generate a graphical representation that represents the relationship strength values between the plurality of interacting nodes within the dataset. Interacting node pairs are connected by edges and the edges have a length that correlates with the relationship strength value between the interacting node pairs.

Abstract: One or more processors receive a dataset that includes a plurality of nodes. One or more processors identify relationships between a plurality of interacting nodes within the dataset. One or more processors determine relationship strength values between a plurality of interacting node pairs within the dataset. One or more processors generate a graphical representation that represents the relationship strength values between the plurality of interacting nodes within the dataset. Interacting node pairs are connected by edges and the edges have a length that correlates with the relationship strength value between the interacting node pairs.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to a graphics editor that enables a localized preview of the effect of a selected digital brush. Such a graphics editor can be configured to determine a region of an image that is rendered on a display of the computing device that the user wishes to view a localized preview of. This region can, for example, be determined based on input received from a user of the computing device selecting the region. The graphics editor can then be configured to cause a localized preview to be rendered on a display of the computing device, where the localized preview reflects application of the selected digital brush to the determined region. Other embodiments may be described and/or claimed.

Abstract: The present disclosure relates to a method for generating panoramic images with real-time annotations. In an embodiment, an image annotation device is present within the computing device. The image annotation device receives a plurality of frames of an environment and identifies one or more region of interest (ROI) in the plurality of frames. The image annotation device further captures one or more annotations and sensory data with respect to the one or more ROI and combines each of the plurality of frames along with the one or more annotations and sensory data to generate panoramic images with real-time annotations.

Abstract: An image processing method comprising: (a) acquiring a first depth value for a first object in a first image; and (b) altering image effect for the first object according the first depth value when the first object is pasted onto a second image.

Abstract: Various embodiments enable a computing device to perform tasks such as highlighting words in an augmented reality view that are important to a user. For example, word lists can be generated and the user, by pointing a camera of a computing device at a volume of text, can cause words from the word list within the volume of text to be highlighted in a live field of view of the camera displayed thereon. Accordingly, users can quickly identify textual information that is meaningful to them in an Augmented Reality view to aid the user in sifting through real-world text.

Abstract: A computer receives user preferences. The computer receives a document, wherein the document includes an image. The computer determines that the image contains embedded text. The computer determines that the embedded text does not satisfy the received user preferences. The computer modifies the embedded text to satisfy user preferences.

Abstract: Systems and methods for arranging scenes of animated content are presented herein. Scenes may be arranged to simulate three-dimensionality in the scenes by shifting objects in the scenes relative to each other and/or changing other properties of one or more of the objects. A shift and/or other property change may be based on a position and/or orientation of a display of a computing platform presenting the scenes relative to a user's perspective of the display.

Abstract: The present invention provided a method for animating 3D models of people.

Abstract: An image generating apparatus, including a memory storing avatar data representing a motion of an avatar in a virtual space and a processor coupled to the memory and the processor configured to obtain sensor information that represents a motion of a person in a real space acquired from at least one sensor, determine a first value that indicates an impression of the person based on the obtained sensor information, determine a type of the motion based on the obtained sensor information, select at least one candidate data set corresponding to the type of the motion from the memory, determine a second value that indicates impression of the avatar for each of the selected at least one data set, select a representative data set based on the determined first value and the determined second value, and generate an avatar image based on the representative data set.

Abstract: A method and a device for texture filtering include determining an upper mipmap and a lower mipmap based on a level of detail (LOD) value corresponding to a quad, obtaining first color values corresponding to the upper mipmap, obtaining second color values corresponding to the lower mipmap, and obtaining third color values of the pixels of the quad by using linear interpolation, based on the obtained first and second color values.