Abstract: The present disclosure provides a picture display method and apparatus that relate to the field of image processing and are increase flexibility of picture display and reducing a memory occupation rate of a terminal on the premise of not modifying an attribute of an original picture. The method and apparatus include receiving an instruction for displaying a picture; obtaining, according to an identifier of a to-be-displayed picture included in the instruction, an original bitmap of the to-be-displayed picture and searching, a database of a current device for a pre-stored first rotation angle corresponding to the to-be-displayed picture; adjusting, according to a resolution of a current screen and/or a current window size, a display size of the original bitmap of the to-be-displayed picture, so as to obtain a compressed bitmap of the original bitmap; and displaying, according to the first rotation angle, a compressed bitmap of the original bitmap.

Abstract: An apparatus, a method and a computer program product are disclosed. The apparatus includes a display that displays an image, a timing detection unit that detects an input operation timing, and an input area display unit that displays an input area oriented towards a preset direction. The method includes displaying an image, detecting a timing of an input operation, and displaying an input area oriented towards a preset direction. The computer program product includes a computer readable storage medium that stores code to perform displaying an image, detecting a timing of an input operation.

Abstract: An image processing apparatus includes a smoothing section configured to smooth, for an image after gradation conversion with which gradation display on a monitor becomes appropriate, a signal with a higher Weber ratio, to a signal value, of a quantization error caused by the gradation conversion with higher strength, and a random component addition section configured to add a larger random component to the signal with the higher Weber ratio excluding a neighborhood of a minimum signal value for an image after the smoothing.

Abstract: There is provided an image processing apparatus, method, and operation program capable of appropriately removing an abnormal pixel even in a case where the abnormal pixel is present in a tailing region. An abnormal pixel removing section removes an abnormal pixel from an image in which tailing and the dot-shaped abnormal pixel are mixed every other line. The abnormal pixel removing section selects neighboring pixels from only odd lines or even lines including a line, in which a target pixel to be corrected is present, depending on whether or not the line in which the target pixel is present is an odd-numbered line in a sub-scanning direction, and performs processing for removing the abnormal pixel based on the selected neighboring pixels.

Abstract: Provided is an apparatus for compensating an image distortion and an apparatus for compensating an image distortion according to exemplary embodiments of the present invention, which compensates distortion of an image including a plurality of image division units includes: a compensation rate setting unit setting a variable distortion compensation rate so that the plurality of respective image division units are compensated at different ratios; and a compensation unit compensating the plurality of image division units according to the variable distortion compensation rate set by the compensation rate setting unit.

Abstract: A computer-implemented method for viewing images on an interactive computing device comprises displaying an image from a stack comprising a display image and at least one compressed sub-image of nominally the same scene, each of the sub-images of the stack having been acquired at respective focal distances. Responsive to a user selecting a portion of the displayed image, the selected portion is mapped to a corresponding mapped portion of a sub-image within the stack according to the difference in focal distances between the displayed image and the sub-image. At least one row of compressed image blocks of the at least one sub-image extending across the mapped portion; and a reference value for a point in the compressed image stream of the sub-image preceding the row of compressed image blocks is determined.

Abstract: Deblurring a blurry image (14) includes the steps of (i) computing a spatial mask (256); (ii) computing a modified blurry image (264) using the blurry image (14) and the spatial mask (256); and (iii) computing a latent sharp image (16) using the modified blurry image (264) and a point spread function (260). Additionally, the image (714) to can be analyzed to identify areas of the image (714) that are suitable for point spread function estimation. Moreover, a region point spread function (1630) can be analyzed to classify the point spread function(s) as representing (i) motion blur, (ii) defocus blur, or (iii) mixed motion blur and defocus blur.

Abstract: The system and method of the invention pertains to automated analysis and reconstruction of images from a plurality of imaging devices to determine the presence of different types of artifacts, using signal processing and machine learning algorithms. The method (1) classifies the artifacts according to their cause, (2) selects correction algorithms to address the artifact, or artifact-generating data, and (3) selects the data or sections of the data and/or reconstruction parameters to be corrected. Then, another reconstruction is performed with the selected artifact corrections, yielding a second reconstructed image with less artifact content. The process can be applied iteratively until the artifact content of the reconstructed image is reduced to a satisfactory low level as determined by a user. If the artifacts cannot be addressed by data processing means, the method initiates or recommends alternative artifact management actions.

Abstract: Technical solutions are described for monitoring health of a user by a healthcare system. An example computer-implemented method includes accessing a current image of the user. The computer-implemented method also includes determining a healthcare routine for the user. The computer-implemented method also includes generating a modified image of the user, where the modified image includes a predicted effect of the healthcare routine. The computer-implemented method also includes displaying, for viewing by the user, the modified image, and information about the healthcare routine.

Abstract: There is described an online inspection method and system having an illumination system that provides bright-field and dark-field illumination concurrently or sequentially, at varying intensities, in order to acquire images that may be read by an image processing device. The image processing device may obtain measurements of features in the images and evaluate acceptability of the features.

Abstract: An inspection method for a surface of a ceramic body capable of determining any crack more reliably than conventionally done is provided. The method includes a step of performing image capturing of an illuminated region of an inspection surface being illuminated with at least one of first and second illumination light from mutually different directions sandwiching an image capturing means, a step of generating a determination image, and a step of performing determination. When a first determination image is generated based on a first image capturing result obtained under illumination at least with the first illumination light, and a second determination image is generated based on a second image capturing result under illumination at least with the second illumination light, those images are generated so that determination of the presence or absence of any crack can be performed based on a difference between formation manners of shadow regions in those images.

Abstract: A medical image data processing system comprising processing circuitry configured to receive three-dimensional medical imaging data; and process the three-dimensional medical imaging data to generate using a virtual light source an image for display, wherein the processing circuitry is configured to vary at least one parameter relevant to the virtual light source in dependence on at least one of a position of a medical device inserted into a human or animal body, a position of a viewing point for virtual endoscopic imaging, and the progress of a procedure.

Abstract: A method adapted to diagnose airway obstruction in a subject is disclosed. The method comprises the following steps: providing plural cross-sectional ultrasound images of a region of the respiratory tract during the subject's normal breathing, wherein each ultrasound image has plural pixels and each pixel has a color scale value; selecting a region of interest in each ultrasound image; calculating a respective first statistic value. The pixels in each of the region of interest are identified to define a respective airspace region by the color scale values larger than or equal to the respective first statistic value. A respective width of the respiratory tract is calculated and based on the distribution of the pixels in the respective airspace region. The status about an airway obstruction in the subject is classified according to the second statistic value obtained by the calculation of the widths of the respiratory tract.

Abstract: A method of providing a prognosis in a cancer patient comprising analysing a tumour image to calculate a metric of immune infiltration for the tumour, and a method of analysing a tumour image.

Abstract: A computer implemented method for determining the 3-dimensional shape of an implant to be implanted into a subject includes obtaining a computer readable image including a defective portion and a non-defective portion of tissue in the subject, superimposing on the image a shape to span the defective portion, and determining the 3-dimensional shape of the implant based on the shape that spans the defective portion.

Abstract: Methods and apparatuses provide improved navigation through tubular networks such as lung airways by providing improved estimation of location and orientation information of a medical instrument (e.g., an endoscope) within the tubular network. Various input data such as image data, EM data, and robot data are used by different algorithms to estimate the state of the medical instrument, and the state information is used to locate a specific site within a tubular network and/or to determine navigation information for what positions/orientations the medical instrument should travel through to arrive at the specific site. Probability distributions together with confidence values are generated corresponding to different algorithms are used to determine the medical instrument's estimated state.

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: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.

Abstract: A method generates and uses a correspondence probability map for visualization of two image datasets. The method includes obtaining two image datasets and obtaining an image registration algorithm that includes a correspondence model. The method further includes registering the two image datasets to generate a displacement vector field and generating a correspondence probability map, using the correspondence model, based on the two image datasets. The method further includes using the correspondence probability map to visualize the two image datasets. A computing system (120) includes a memory device (124) configured to store instructions, including a visualization module (130), and a processor (122) that executes the instructions, which causes the processor to generate and employ a correspondence probability map for visualization of two image datasets.

Abstract: The present invention relates to a system (1) for adaptive segmentation. The system (1) comprises a configurator (10), which is configured to determine an adapted angular range (AR) with respect to an operation mode of the system (1) and which is configured to determine a segmentation parameter (SP) based on the adapted angular range (AR). Further, the system comprises an imaging sensor (20), which is configured to acquire images (I1, . . . , IN) within the adapted angular range (AR). Still further, the system comprises a segmentator (30), which is configured to generate a segmentation model based on the acquired images (I1, . . . , IN) using the determined segmentation parameter (SP).

Abstract: Dimensioners and methods for dimensioning an object includes capturing, using a dimensioning system with a single sensor, at least one range image of at least one field-of-view, and calculating dimensional data of the range images and storing the results. Wherein, the number of views captured of the object is automatically determined based on one of three modes. The first mode is used if the object is a cuboid, or has no protrusions and only one obtuse angle that does not face the point of view, where it captures a single view of the object. The second mode is used if the object includes a single obtuse angle, and no protrusions, where it captures two views of the object. The third mode is used if the object includes a protrusion and/or more than one obtuse angle, overhang, protrusion, or combinations thereof, where it captures more than two views of the object.

Abstract: An image recognition method is disclosed. The method includes acquiring an image detecting image information and a position of a polygon object included in the image; projecting the image information of the polygon object onto the recognition area based on the position of the polygon object and a position of a recognition area to obtain a projection image; and recognizing the projection image using an image recognition technology to obtain information in the polygon object. Projecting image information of a polygon object onto a recognition area and performing recognition thereon are equivalent to correcting a shape and a position of the polygon object in the recognition area, such that an image after the correction can be recognized. As such, a failure in recognition due to a failure of a position, a shape and the like of a polygon object in a recognition area in fulfilling the recognition requirements is solved.

Abstract: A method for detecting motion information includes the following steps. First, a pixel array is provided for detecting an image of a measured object located in a first distance range or in a second distance range, and the pixel array includes a plurality of invisible image sensing pixels and a plurality of visible image sensing pixels. Then, image detection is conducted within the first distance range by using the invisible image sensing pixels to output a plurality of invisible images. Next, the image detection is conducted within the second distance range by using the visible image sensing pixels to output a plurality of visible images. Then, the plurality of invisible images and the plurality of visible images are analyzed by using a processing unit, so as to obtain motion information of the measured object. A pixel array for detecting motion information and an image sensor are also provided.

Abstract: An image processing apparatus capable of accurate area tracking, and a method for controlling the same are provided. An image area for extracting a feature amount is identified based on a specified position. A plurality of images are searched for an image that corresponds to the image area using the feature amount extracted from the identified image area. The image area is identified using distance information if distance information that satisfies a reliability condition has been obtained regarding an area that includes the specified position, and without using the distance information if the distance information that satisfies the reliability condition has not been obtained.

Abstract: A method for mapping a geographical location of a feature in a satellite image is provided. An image of a geographical surface is obtained, the image comprising a plurality of pixels, data indicating the latitude and longitude of each vertex of the image and data relating to a grid corresponding to the image is obtained. A grid location of a feature in the image is received, the grid location identifying a cell in the grid. The grid location is translated into a geographical location, which comprises calculating a pixel space location of at least one vertex of the identified grid cell; converting the pixel space into a latitude/longitude space based on the obtained data indicating the latitude and longitude of each vertex; and determining the latitude and longitude of the at least one vertex of the identified cell, based on the calculated pixel space location and the latitude/longitude space.

Abstract: A method of identifying a surface point or region of an object to be measured by means of an optical sensor providing defined measuring conditions regarding emission of measuring light and reception of reflected measuring light in a defined spatial relationship. The method comprises defining a point or region of interest of the object, determining an optical property of the defined point or of the defined region and deriving an object information base on the optical property. The determination of the optical property is performed by optically pre-measuring the point or region using the optical sensor by illuminating the point or the region with the measuring light, capturing at least one image by means of the optical sensor of at least one illumination (Lr,Li) at the object and analysing respective illuminations (Lr,Li) regarding position or appearance plausibility with respect to the measuring conditions of the optical sensor.

Abstract: A method is provided for obtaining a disparity map for reconstructing a three dimensional image. The map is based upon a large range of disparities and is obtained by using a hardware provided with a buffer capable of storing data that relates to substantially less disparities than a data associated with the large disparities' range. The method comprises the steps of: providing a pair of stereoscopic images captured by two image capturing devices; dividing the large disparities' range into N disparity ranges; executing a stereo matching algorithm for a plurality of times, using data retrieved from a pair of captured images, wherein the algorithm is executed each time while using a different disparity range out of the N disparity ranges, thereby obtaining a plurality of individual disparity maps, each corresponding to a different disparity range; and merging the individual disparity maps to generate a map of the large disparities' range.

Abstract: A baseball game system is capable of accurately determining a location of a ball at all times irrespective of changes in illuminance, the baseball game system including: a pitching unit pitching a ball toward a determination area including a strike zone; a photographing unit between the determination area and the pitching unit; and a location detector receiving a photographed image from the photographing unit, comparing the photographed image with a reference image, generating a corrected image by adjusting a luminance of the photographed image based on the comparison result and detecting a location of a pitched ball or a struck ball based on the corrected image.

Abstract: Depths of one or more objects in a scene may be measured with enhanced accuracy through the use of a light-field camera and a depth sensor. The light-field camera may capture a light-field image of the scene. The depth sensor may capture depth sensor data of the scene. Light-field depth data may be extracted from the light-field image and used, in combination with the sensor depth data, to generate a depth map indicative of distance between the light-field camera and one or more objects in the scene. The depth sensor may be an active depth sensor that transmits electromagnetic energy toward the scene; the electromagnetic energy may be reflected off of the scene and detected by the active depth sensor. The active depth sensor may have a 360° field of view; accordingly, one or more mirrors may be used to direct the electromagnetic energy between the active depth sensor and the scene.

Abstract: A compression method includes simplifying a mesh that represents a textured 3D-object by replacing polygons in the mesh with new ones that have broader faces. The method includes identifying adjacent polygons with different textures and adding vertices at the same positions as two vertices in the polygons. This creates two new edges and an intermediate polygon interposed between the two adjacent polygons. The new edges have zero length and the new polygon has zero area.

Abstract: An encoding method includes; acquiring a first image; separating the first image into a plurality of second images by extracting a pixel in the first image after every predetermined number of pixels in each of horizontal and vertical directions of the first image; and encoding each of the separated second images. By transmitting those pieces of encoded data, even if a packet loss occurs in one of the second images, the missing pixel can be re-generated based on corresponding neighboring pixels in other second images.

Abstract: Embodiments of the present invention provide a system for fast parallel graph compression based on identifying a set of large cliques, which is used to encode the graph. The system provides both permanently-stored and in-memory graph encoding and reduces the space needed to represent and store a graph, the I/O traffic to use the graph, and the computation needed to perform algorithms involving the graph. The system thereby improves computing technology and graph computation. During operation, the system obtains data indicating vertices and edges of a graph. The system executes a clique-finding method to identify a maximum clique in the graph. The system then removes the clique from the graph, adds the clique to a set of found cliques, and generates a compressed representation of the graph based on the set of found cliques.

Abstract: An automated method and a graphic processor for managing colors for a user interface to be displayed over at least one multimedia frame provided by an electronic device. The user interface comprises at least one graphical item having at least one predetermined color.

Abstract: A method of reconstructing an image that may include in at least one example: determining coincidence events based on detection by a detector during a continuous incremental scanning; determining an axial position for each of the coincidence events; storing data for each of the coincidence events including the axial position in a list mode; sorting the data for each of the coincidence events according to a spatial order; and obtaining an image by performing iterative reconstruction with the sorted data for each of the coincidence events.

Abstract: A luggage detection device is configured to detect luggage by generating computed tomography (CT) imaging slices. For each of the CT imaging slices, the luggage detection device is configured to identify at least one region within the CT imaging slice for removal based on at least one predefined rule, to remove pixel data associated with the at least one identified region within the CT imaging slice, to generate a pixel count representing a number of pixels in the modified CT imaging slice that include a value above a threshold pixel value, and to generate an object indicator based on a determination that the generated pixel count is above a threshold pixel count. The luggage detection device is further configured to display at least one of the plurality of CT image slices based on the presence of the corresponding baggage indicator.

Abstract: Described herein are systems and methods for automated completion, combination, and completion by combination of sinograms. In certain embodiments, sinogram completion is based on a photographic (e.g. spectral or optical) acquisition and a CT acquisition (e.g., micro CT). In other embodiments, sinogram completion is based on two CT acquisitions. The sinogram to be completed may be truncated due to a detector crop (e.g., a center-based crop or an offset based crop). The sinogram to be completed may be truncated due to a subvolume crop (e.g., based on low resolution image projected onto sinogram).

Abstract: A method of generating a synthesized digital projection image, executed at least in part by a computer, acquires x-ray projection images at corresponding acquisition angles, and reconstructs a first volume image. Forward projection generates a preceding forward projection image at a first acquisition angle; a following forward projection image at an adjacent second acquisition angle; and an intermediate forward projection image for an intermediate angle. A synthesized projection image is formed by identifying a candidate patch of pixels from the intermediate forward projection image, matching a first patch of pixels from the preceding forward projection image and identifying a corresponding first acquired patch of pixels from the first acquired x-ray projection image, matching a second patch of pixels from the following forward projection image and matching a second acquired patch of pixels from the forward projection image. The first and second acquired patches are combined.

Abstract: The present invention provides a device and a method for image reconstruction at different X-ray energies that make it possible to achieve image reconstruction with higher accuracy. A device for image reconstruction at different X-ray energies includes: an X-ray source 1 that irradiates a specimen to be imaged 2 with X-rays; an energy-dispersive detector 4 that detects a characteristic X-ray emitted from the specimen to be imaged 2; a signal processing means that quantifies the peak of the characteristic X-ray detected by the detector 4; and an image reconstruction means that reconstructs an image on the basis of a signal from the signal processing means.

Abstract: Provided is a visualization framework including a visualization library and a data query language. Devices and methods are also provided for generating visualizations based on the visualization framework. As an example, a method may include selecting a layout for the visualization from among a plurality of layouts included in the visualization library, the layout defining a format for how content is spatially organized within the respective layout, binding the layout to a dataset using one or more functions from the data query language, the one or more functions comprising a repeater function defining a number of times a display of the layout is to be repeated, and displaying the visualization including the layout displayed a number of times as defined by the repeater function.

Abstract: Similarities between events that include a plurality of dimensions are computed, the similarities computed based on binary comparisons between the events and based on user-specified weights for the dimensions. Multidimensional scaling (MDS) values are calculated based on the computed similarities between the events. A graphical visualization is generated of a temporal plot of the events, the temporal plot comprising a first axis corresponding to time, and a second axis corresponding to the MDS values, and the temporal plot representing overlapping time slices each containing pixels representing a respective subset of the events.

Abstract: A method of creating a graphical representation of data points in the form of a heatmap wherein the heatmap represents a plurality of multi-directional flow values between the data points, the method including the steps of: positioning data points on a heatmap for graphical representation, calculating bi-directional flow values between at least a first and second data point, determining the intensity and direction of a predominant flow from the bi-directional flow values, and graphically representing the predominant flow and bi-directional flows between the data points in the heatmap.

Abstract: A dynamically configured tree form and corresponding graphical elements graphically represent information contained in a live stream of event data. The tree form is positioned in virtual three dimensional space within a computer graphical user interface such that the root of the tree is in the center of the screen, originating at the farthest distance from the viewer along the z axis. The tree form is configured to guide movement of the three dimensional graphical elements which represent individual measurements of events during specific time periods. The outermost, or leaf, portions of the tree represent the present time. The root or base of the tree represents the maximum duration that is being measured.

Abstract: A vector based mosaic design system has a graphical processing module, a display module, a plugin application module and memory, and it operates to receive an original input image and mosaic design information from an artist. The plugin module has logical instructions that operate on the information received from the artist to determine the position of curves that are offset from a mosaic design region boundary or feature curve, and the plugin also operates to determine the positions and dimensions of tiles in courses that are defined by the positions of feature curves and curves that are offset from them.

Abstract: Locations and presentation orders of objects of interest (e.g., speech bubbles) in digital graphic novel content are identified such that expanded versions of the objects of interest can be presented to a reader. Specifically, digital graphic novel content is received and locations of interest regions (e.g., rectangular text regions of speech bubbles) in the content are identified by applying a machine-learned model to the content. Locations and presentation orders of objects of interest in the digital graphic novel content are identified based on the identified locations of the interest regions. The digital graphic novel content and presentation metadata including the locations and presentation orders of the objects of interest are provided to a reading device such that expanded versions of the objects of interest are presented to the user in accordance with the presentation metadata.

Abstract: An image generating apparatus includes memory and processors programed to execute a process including acquiring first data indicating a position of a body portion of a predetermined person being sensed at first timing, generating a first image having the position of the body portion indicated by the first data reflected in an avatar representing the predetermined person, acquiring second data indicating a position of the body portion of the predetermined person being sensed at second timing, determining whether to reflect the position of the body portion of the body indicated by the second data in the avatar according to change in movement of the predetermined person from the first to the second data, and outputting a second image having the position of the body portion indicated by the second data reflected in the avatar when determined to reflect the position of the body portion indicated by the second data.

Abstract: Embodiments of the invention are directed an animation kit including a template page with at least one template design, an armature that moves between at least a first position and a second position, and an animation application that generates an animated segment corresponding to the template design and at least one pose of the armature. In further embodiments, a method for generating an animated segment is provided. In another embodiment, a system for generating an animated sequence includes a template design and an application that receives an image of the template design and animates at least one three-dimensional image corresponding to the captured template design.

Abstract: A method is provided for rendering a scene including a digital three-dimensional (3D) model of a structure. The method includes traversing a scene graph composed of a hierarchical group of nodes representing respective 3D objects of the digital 3D model, and selecting nodes of the hierarchical group of nodes. The method includes adding a plurality of objects represented by the selected nodes to a render queue, performing a multiple-pass rendering of the plurality of 3D objects from the render queue. This includes in a pass of a plurality of passes, rendering a threshold portion but not all of the plurality of 3D objects to a framebuffer for output to a display device, with at least one of the plurality of 3D objects being left in the render queue after rendering the threshold portion. The method may also include a mesh simplification and/or z-occlusion.

Abstract: A first set of N samples is located along a ray through a volume in connection with a first frame. The first set of N samples is stored. A second set of N additional samples is located along the ray in connection with a second frame. Then the first and second sets of samples are accumulated.

Abstract: A visual display unit creating a three-dimensional volumetric space. The display includes a first screen in a first focal plane, wherein the first screen displays a first image. The display includes a second screen in a second focal plane distinct from the first focal plane, wherein the second screen displays a second image, and wherein the second screen at least partially overlaps the first screen. The display includes a physical object located between the first screen and said second screen, wherein at least one of the first and second images is displayed in response to a placement of the physical object.

Abstract: Systems, methods and articles of manufacture for rendering an image. Embodiments include selecting a plurality of positions within the image and constructing a respective linear prediction model for each selected position. A respective prediction window is determined for each constructed linear prediction model. Additionally, embodiments render the image using the linear prediction models using the constructed linear prediction models, where at least one of the constructed linear prediction models is used to predict values for two or more of a plurality of pixels of the image, and where a value for at least one of the plurality of pixels is determined based on two or more of the constructed linear prediction models.