Abstract: An image processing apparatus capable of properly suppressing coloring caused by image restoration processing. A feature amount of a color of a pixel in an image before restoration processing is calculated as a first color feature amount. Image restoration processing is performed on the image using an image restoration filter. A feature amount of a color of a pixel in an image after restoration processing is calculated as a second color feature amount. High-frequency components included in the first color feature amount and the second color feature amount are attenuated according to a photographing condition at the time of photographing the image. Pixel values of the image after restoration processing are corrected based on the first color feature amount and the second color feature amount of which the high-frequency components are attenuated.

Abstract: Methods of producing an output image with enhanced contrast are disclosed. A first set of methods is adaptive and region-based and comprises dividing a digital input image comprised of input image luma pixels into a plurality of blocks, and for each of the blocks, applying certain statistical analyses and computations to produce output image pixel data, communicating the output image pixel data to an image display device, and displaying the output image. A second set of methods is adaptive and uses human vision basis functions. A device for producing an output image with enhanced contrast is also disclosed.

Abstract: Systems and methods of enhancing images use a contrast limited adaptive histogram equalization (CLAHE) algorithm in a field programmable gate array (FPGA). The images may be obtained by the imaging elements of a multiple imaging elements endoscope of an endoscopy system.

Abstract: An image signal providing apparatus includes a signal separator which separates an inputted image signal into an upper bit and a lower bit, an upper bit image quality processor which performs image quality processing regarding an upper bit image signal, a compositor which combines the image-quality-processed upper bit image signal with a lower bit image signal and outputs the result, and a controller which controls the compositor to combine the image-quality-processed upper bit image signal with the lower bit image signal per area of the image signal based on image parameters regarding the image signal.

Abstract: Apparatus and methods for inspecting a specimen are disclosed. An inspection tool is used at one or more operating modes to obtain images of a plurality of training regions of a specimen, and the training regions are identified as defect-free. Three or more basis training images are derived from the images of the training regions. A classifier is formed based on the three or more basis training images. The inspection system is used at the one or more operating modes to obtain images of a plurality of test regions of a specimen. Three or more basis test images are derived from to the test regions. The classifier is applied to the three or more basis test images to find defects in the test regions.

Abstract: In one embodiment of the present invention, a quality trainer and quality calculator collaborate to establish a consistent perceptual quality metric via machine learning. In a training phase, the quality trainer leverages machine intelligence techniques to create a perceptual quality model that combines objective metrics to optimally track a subjective metric assigned during viewings of training videos. Subsequently, the quality calculator applies the perceptual quality model to values for the objective metrics for a target video, thereby generating a perceptual quality score for the target video. In this fashion, the perceptual quality model judiciously fuses the objective metrics for the target video based on the visual feedback processed during the training phase. Since the contribution of each objective metric to the perceptual quality score is determined based on empirical data, the perceptual quality score is a more accurate assessment of observed video quality than conventional objective metrics.

Abstract: A method for recognizing a change of a relative yaw angle at a stereo video system for a vehicle. An image pair is read in from first and second cameras at a first time, and a further image is read in from the first camera at a later time. A stationary surface is ascertained using the image pair and the stereo base to obtain an angle of inclination of the stereo video system. The stationary surface is determined using the first image of the image pair and the further image to obtain a comparison angle. A correspondence transformation between the first image and the further image is acquired if the stereo video system has moved by a distance between the first time and the further time. The angle of inclination is compared with the comparison angle to recognize the change of the relative yaw angle.

Abstract: One or more techniques and/or systems are described for inspecting an object, such as a tire. The system comprises a radiation imaging system configured to examine the object via radiation to generate a radiation image depicting an interior aspect of the object and a machine vision system configured to measure visible light and/or infrared wavelengths to generate a vision image depicting an exterior aspect of the object. The radiation image and the vision image may be correlated to facilitate an inspection of the object which includes an inspection of the exterior aspect as well as the interior aspect.

Abstract: The success of the positioning of devices for deployment inside an aneurysm, for example, is reliant on processes,which take place within an intervention procedure. For example, the position, orientation, or trajectory of the intervention device can affect the final position of a device for deployment deployed on the intervention device. Therefore, it is useful to predict the deployment position of a device for deployment based on a current localization of only the intervention device within an object of interest.

Abstract: Methods for characterizing two-dimensional concept drawings are disclosed. The concept drawings comprise cross-sections intersecting at cross-hairs. The method comprises: determining, for each cross-section: a plane on which the cross-section is located, the plane having a normal vector in a three-dimensional coordinate system; and, for each cross-hair on the cross-section, a tangent vector in the three-dimensional coordinate system which is tangent to the cross-section at the cross-hair. For each cross-hair comprising ith and jth intersecting cross-sections, one or more constraints are satisfied, the constraints comprising: the normal vector ni of the plane on which the ith cross-section is located is at least approximately orthogonal to the normal vector nj of the plane on which the jth cross-section is located; and the tangent vector tij to the ith cross-section at the cross-hair is at least approximately orthogonal to the tangent vector tji to the jth cross-section at the cross-hair.

Abstract: Tomographic reconstruction is performed of cross-sectional images of downhole or surface multiphase flows containing water (brine), oil, and gas phases. Measures are obtained of digital transmission (or analog attenuation) and also of analog transit time to form two views of the same cross sectional flow in a location of interest in a flow conduit. The measures are then merged by synthesizing a composite image of the multiphase flows. Rather than performing a complex tomographic reconstruction requiring a large number of calculations, measures are also obtained directly from the tomographic pattern which can be used to reconstruct an approximation of the cross sectional flow by the superposition of circles of variable position, radius and density representing flow patterns.

Abstract: An image inspection apparatus for inspecting an image output on a recording medium. The image inspection apparatus includes processing circuitry that obtains data of an output-target image used by an image forming apparatus to conduct an image forming operation, generates read data from the data of the output-target image, and generates an inspection reference image from the data of the output-target image. The apparatus also performs position alignment between the read image and the inspection reference image, conducts an inspection which determines a defect in the read image based on the difference of the aligned read image and the inspection reference image, and determines whether a position alignment defect exists in the read image based on the defect detected during inspection.

Abstract: An apparatus for inspecting a turbomachine includes a plurality of boroscopes, a device to rotate the rotor of the turbomachine and a processor having reference measurements of the rotor blades and/or reference measurements between the rotor blades and the boroscopes. A boroscope is inserted in a casing aperture upstream of the blades to view the leading edge and a portion of one of the surfaces of each blade as the rotor is rotated. A boroscope is inserted in a casing aperture downstream of the blades to view the trailing edge and a portion of one of the surfaces of each blade as the rotor is rotated. The boroscopes supply the images of each of the blades to the processor. The processor analyses the images of the blades and uses the reference measurements to determine the position and size of any defect on any of the rotor blades.

Abstract: Systems and methods for generating a medical image of a subject that includes functional information. First, two medical images are acquired. One is weighted based on functional information reflecting physiological functions of the subject and the other weighted based on anatomic information of the subject. A difference image between the two images are generated. By subjecting the difference image and the second image to a localized kernel, a local similarity image is generated. Using the local similarity image, an improved difference image is generated. Lastly, by subtracting the improved difference image from the first image, an enhanced medical image that retains the functional information reflecting physiological functions of the subject is generated.

Abstract: The disclosure relates to stent detection and shadow detection in the context of intravascular data sets obtained using a probe such as, for example, and optical coherence tomography probe or an intravascular ultrasound probe.

Abstract: A diagnosis support apparatus provides information for supporting medical diagnosis. The diagnosis support apparatus includes: a selection unit configured to select reference information as a clue for medical diagnosis from reference information candidates generated by using medical information; an obtaining unit configured to obtain an image feature corresponding to the reference information from a medical image; a specifying unit configured to specify a partial region of the medical image based on the reference information and the image feature; and a display control unit configured to control display of the medical image based on the selected reference information and the partial region.

Abstract: The present invention provides a method for visualizing health-data. The method involving collecting a plurality of measurements of at least one health-affecting variable; calculating an average value or instantiation of the health variable over the period of time; and building a three-dimensional object having using visual and/or tactile features that convey the averaged value or instantiation of the at least one health-affecting variable to an observer over a given time period.

Abstract: The disclosure relates, in part, to computer-based visualization of stent position within a blood vessel. A stent can be visualized using intravascular data and subsequently displayed as stent struts or portions of a stent as a part of a one or more graphic user interface(s) (GUI). In one embodiment, the method includes steps to distinguish stented region(s) from background noise using an amalgamation of angular stent strut information for a given neighborhood of frames. The GUI can include views of a blood vessel generated using distance measurements and demarcating the actual stented region(s), which provides visualization of the stented region. The disclosure also relates to display of intravascular diagnostic information such as indicators. An indicator can be generated and displayed with images generated using an intravascular data collection system. The indicators can include one or more viewable graphical elements suitable for indicating diagnostic information such as stent information.

Abstract: There is provided a cell image evaluation device, method, and program to appropriately evaluate the state of a stem cell colony according to different changes in form of respective local regions of the cell colony. There are included a low magnification image acquisition unit 20 that acquires a cell image by imaging cells; a cell evaluation unit 23 that evaluates the cell image; and a local region information acquisition unit 21 that acquires the specific information of a local region in a colony region of the cells in the cell image. The cell evaluation unit 23 determines, for each local region in the colony region, an evaluation method for a cell image in the local region based on the specific information of the local region, and evaluates the cell image of the local region using the determined evaluation method.

Abstract: A non-invasive imaging system, including an imaging scanner suitable to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one substructure; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit stores an anatomical atlas comprising data encoding spatial information of the at least one substructure in the tissue region, and a pathological atlas corresponding to an abnormality of the tissue region, wherein the signal processing system is adapted to automatically identify, using the imaging signal, the anatomical atlas, and the pathological atlas, a presence of the abnormality or a pre-cursor abnormality in the subject under observation.

Abstract: Embodiments of the present invention relate to discriminating between normal and abnormal left ventricles in echocardiography. In some embodiments, a first region of a first image of a heart is located by clustering. The first region depicts a chamber of the heart. The chamber has a chamber shape. A boundary of the first region is determined by contour tracing a retaining the traced contour overlapping the first region. A predetermined shape is compared to the boundary. The predetermined shape had been determined without reference to the first image. A first plurality of parameters is determined that, when applied to the predetermined shape, conforms the predetermined shape to the boundary and minimizes at least one error between the predetermined shape and the boundary. An indication of normality or abnormality is determine from the first plurality of parameters.

Abstract: A system (100) and method which assess the results of uterine fibroid embolization. A fibroid lesion is three-dimensionally segmented by a segmentation module (110) on contrast-enhanced arterial phase MRI or CBCT images and a differentiation process performed by a subtraction module (114) identifies actual contrast enhancement from background enhancement. The three-dimensional segmentation mask is then applied to the differentiated image and a region of interest is defined by a comparison module (116) in order to define a normalized threshold. A computation module (112) performs a voxel-by-voxel analysis of enhancing fibroid volume and quantifies the viable enhanced fibroid volume and overall fibroid volume in absolute numerical figures.

Abstract: Techniques are provided for incrementally aligning multiple scans of a three-dimensional subject. This can be accomplished by establishing an updated aligned set of scans as each new scan is sequentially processed and aligned with the existing scans. In such embodiments the pairwise and global alignment processes are effectively combined into a single collective alignment process. This collective alignment converges to an optimal alignment faster than the sequential pairwise alignment process that existing solutions use. The collective alignment enforces pairwise alignment between the individual scans in the aligned set of scans. This is because each scan comprising the aligned set can be aligned to the next incremental scan if any scan included in the aligned set can be aligned to the next incremental scan. The pairwise alignment between the scans comprising the aligned set is thus a known function.

Abstract: A measuring apparatus includes an optical system configured to project light onto a sample and to receive light via the sample, an imaging device configured to take an image of a light source via the optical system, and a processor configured to obtain an optical characteristic of the sample based on an output of the imaging device. The processor is configured to determine a coefficient of a Wiener filter based on one of the image and a Fourier transform thereof and corresponding one of the light source (an aperture in an aperture unit) and a Fourier transform thereof, and obtain the optical characteristic based on the Wiener filter of which the coefficient has been determined, a Fourier transform of the image, and a Fourier transform of the light source.

Abstract: A solution for generating a 3D representation of an object in a scene is provided. A depth map representation of the object is combined with a reflectivity map representation of the object to generate the 3D representation of the object. The 3D representation of the object provides more complete and accurate information of the object. An image of the object is illuminated by structured light and is captured. Pattern features rendered in the captured image of the object are analyzed to derive a depth map representation and a reflectivity map representation of the illuminated object. The depth map representation provides depth information while the reflectivity map representation provides surface information (e.g., reflectivity) of the illuminated object. The 3D representation of the object can be enhanced with additional illumination projected onto the object and additional images of the object.

Abstract: A method for automatic video face replacement includes steps of capturing a face image, detecting a rotation angle of the face image, defining a region to be replaced in the face image, and pasting a region to be replaced of one of the replaced images having the corresponding rotation angle of the face image into a target replacing region. Therefore, the region to be replaced of a static or dynamic face image can be replaced by a replaced image quickly by a single camera without requiring a manual setting of the feature points of a target image. These methods support face replacement at different angles and compensate the color difference to provide a natural look of the replaced image.

Abstract: The present disclosure provides a visual navigation method and a visual navigation device. The method may include steps of: obtaining a plurality of ambient sub-images for a collected ambient image based on the collected ambient image; performing a region-matching process on each of the ambient sub-images to determine a disparity between at least two of the ambient sub-images; and determining coordinates of an object in the ambient image based on the determined disparity, and performing a navigation based on the determined coordinates. In the present disclosure, the ambient image is collected by a single camera, the plurality of ambient sub-images is obtained by the micro-lens array based on the collected ambient image, and then stereo matching and three-dimensional (3D) reconstruction are implemented based on the ambient sub-images to perform the visual navigation.

Abstract: Systems and methods for predicting shape are provided. A system for predicting shape can include a database, a training analysis module, a subject analysis module, and a prediction module. The database can store two sets of training models characterized by first and second parameters, respectively (e.g., bone and cartilage), as well as a subject model characterized by the first parameter (e.g., a bone model). The relationships between these models can be determined by a training analysis module and a subject module. Based on these relationships, the prediction module can generate a predicted shape characterized by the second parameter (e.g., a predicted cartilage model corresponding to the bone model).

Abstract: A method for registering a three-dimensional image data record of a target region of a patient with a two-dimensional x-ray image is provided.

Abstract: Systems and methods for machine vision are presented. Such machine vision includes ego-motion, as well as the segmentation and/or classification of image data of one or more targets of interest. The projection and detection of scanning light beams that generate a pattern are employed. Real-time continuous and accurate spatial-temporal 3D sensing is achieved. The relative motion between an observer and a projection surface is determined. A combination of visible and non-visible patterns, as well as a combination of visible and non-visible sensor arrays is employed to sense 3D coordinates of target features, as well as acquire color image data to generate 3D color images of targets. Stereoscopic pairs of cameras are employed to generate 3D image data. Such cameras are dynamically aligned and calibrated. Information may be encoded in the transmitted patterns. The information is decoded upon detection of the pattern and employed to determine features of the reflecting surface.

Abstract: Methods and systems for characterizing fluids from a patient are disclosed. The method includes receiving a time series of images of a conduit receiving fluids from the patient, identifying a conduit image region in each of the images, classifying a flow type through the conduit based on an evaluation of the conduit image region in the time series of images, and estimating at least one of a volume of fluids and a quantity of a blood component that has passed through the conduit within a predetermined period of time, based at least in part on the classification of the flow type.

Abstract: In an object tracking device that obtains image data, detects an object, and tracks a target object, a matching unit collates image data of a characteristic model that represents a tracking object, which is a tracking target, with input image data, and outputs a candidate region of the tracking object. An object region determination unit determines an object region from the candidate region that is output by the matching unit. A depth map calculation unit calculates depth information relating to the input image. An object depth setting unit obtains the object region that has been determined by the object region determination unit in the past and the depth information that has been calculated by the depth map calculation unit, and sets a predetermined depth range where the object can exist.

Abstract: To make it possible to form a three-dimensional molded article having desired glossiness. An acquisition unit configured to acquire surface roughness data for forming a roughness-layer and glossiness data for forming a glossy layer that are used to form a three-dimensional molded article including at least the roughness-layer that forms roughness and the glossy layer that reproduces gloss, a derivation unit configured to derive a representative frequency that characterizes roughness of the roughness-layer from the acquired surface roughness data, and a correction unit configured to correct the glossiness data based on the derived representative frequency and output characteristics of an image forming apparatus that is used to output the three-dimensional molded article are included.

Abstract: A method for adjusting pixel colors between image frames includes scanning, at a processor, a first image frame of a sequence of image frames. The method also includes determining a grayscale threshold based on characteristics of the first image frame to identify gray pixel candidates in the first image frame. The method further includes adjusting a pixel value of each pixel in the first image frame based on a chromatic adaptation transform estimation. The chromatic adaptation transform estimation is based on the gray pixel candidates. The grayscale threshold may be computed for each image frame in the sequence of image frames.

Abstract: The present invention provides an efficient three dimensional scanning of a person.

Abstract: Systems and methods are provided for generating an image-based color palette based on a color image. A color palette can be a collection of representative colors each associated with a weight or other metadata. A color palette may be generated based on palette generation criteria, which may facilitate or control a palette generation process. Illustratively, the palette generation process may include image pre-processing, color distribution generation, representative color identification, palette candidate generation and palette determination. Representative colors with associated weight can be identified from a distribution of colors depicted by the color image, multiple palette candidates corresponding to the same color image can be generated based on various palette generation criteria, and a color palette can be identified therefrom.

Abstract: There are provided a method of CT volume reconstruction based on a baseline sinogram obtained by a prior scanning an object in B directions, and a system thereof.

Abstract: There is described herein a method for recovering missing information in diffusion magnetic resonance imaging (dMRI) data. The data are modeled according to the theory of moving frames and regions where frame information is missing are reconstructed by performing diffusions into the regions. Local orthogonal frames computed along the boundary of the regions are rotated into the regions. Connection parameters are estimated at each new data point obtained by a preceding rotation, for application to a subsequent rotation.

Abstract: Displaying a status of entities in a segmented graph on a display are provided. An example includes representing a computing network as a geometric shape, wherein each of a number of segments of the geometric shape represent individual entities. A first region in the geometric shape is displayed to indicate the type of networked units represented by each of the segments. A second region that represents a first status level for an event for an entity is displayed. A color of a segment is changed, or a length of the segment is extended into the second region, or both, to indicate the first status level for the event.

Abstract: A method of processing which can include receiving input signals from a plurality of sources, data mining the input signals, interpreting the mined data, optionally providing a set of settings and processing the input signals based on the interpretation of the mined data and, optionally, the set of settings to produce output signals. The input signals can be data mined to identify one or both of unique characteristics and attributes associable with the input signals. The mined data can be interpreted in a manner so as to form association based on one or both of the unique characteristics and attributes. The output signals can correspond to adaptably altered input signals which can be associated with adaptable alteration of one or both of visual perception and audio perception of the input signals.

Abstract: A method of manipulating an image by a device is disclosed. The method includes segmenting image data corresponding to the image into a first image layer and a second image layer. The method further includes adjusting a first attribute of the first image layer independently of a second attribute of the second image layer based on user input.

Abstract: Techniques related to non-rigid transformations for articulated bodies are discussed. Such techniques may include repeatedly selecting target positions for matching a kinematic model of an articulated body, generating virtual end-effectors for the kinematic model and corresponding to the target positions, generating an inverse kinematics problem including a Jacobian matrix, and determining a change in kinematic model parameters based on the inverse kinematics problem until a convergence is attained.

Abstract: In some aspects, systems and methods provide for forming groupings of a plurality of independently-specified computation workloads, such as graphics processing workloads, and in a specific example, ray tracing workloads. The workloads include a scheduling key, which is one basis on which the groupings can be formed. Workloads grouped together can all execute from the same source of instructions, on one or more different private data elements. Such workloads can recursively instantiate other workloads that reference the same private data elements. In some examples, the scheduling key can be used to identify a data element to be used by all the workloads of a grouping. Memory conflicts to private data elements are handled through scheduling of non-conflicted workloads or specific instructions and/or deferring conflicted workloads instead of locking memory locations.

Abstract: A method for determining a pixel value of a texture pixel associated with a three-dimensional scan of an object includes prioritizing a sequence of image frames in a queue based on one or more prioritization parameters. The method also includes selecting a first image frame from the queue. The method also includes determining a pixel value of the particular texture pixel in the first image frame. The method further includes selecting a second image frame from the queue. The second image frame has a higher priority than the first image frame based on the one or more prioritization parameters. The method also includes modifying the pixel value of the particular texture pixel based on a pixel value of the particular texture pixel in the second image frame to generate a modified pixel value of the particular texture pixel.

Abstract: Systems and techniques are provided for transferring changes in animation data between geometric models of a character having different resolutions. For example, systems and techniques are provided for transferring changes in geometric properties between the geometric models. A method may include obtaining a first geometric model of the character and a second geometric model of the character, the geometric models having different resolutions with different numbers of data points. The method may further include determining one or more correspondences between data points of the first geometric model and data points of the second geometric model. The correspondences include one or more data points of the first geometric model that overlap with one or more data points of the second geometric model.

Abstract: Provided is a development view generation system including a storage unit that stores information on a three-dimensional shape of an article, a development surface determination unit in which when there is a second surface adjacent to a first surface, the first surface being a determination target, and there is a third surface adjacent to the first surface and the second surface, if an angle between the first surface and the second surface and an angle between the first surface and the third surface are a pre-set threshold or less, the development surface determination unit determines the first surface as a development surface, and if any one of the respective angles is greater than the threshold, the development surface determination unit determines the first surface as a non-development surface, and a development view generation unit that generates a development view, for a surface which is determined as a development surface.

Abstract: A system and method of deep learning using deep networks to predict new views from existing images may generate and improve models and representations from large-scale data. This system and method of deep learning may employ a deep architecture performing new view synthesis directly from pixels, trained from large numbers of posed image sets. A system employing this type of deep network may produce pixels of an unseen view based on pixels of neighboring views, lending itself to applications in graphics generation.

Abstract: An approach is provided for accurate processing and registering of media content for rendering in 3D maps and other applications. The approach includes determining at least one first pixel of at least one image that geometrically corresponds to at least one second pixel of at least one rendered three-dimensional map. Further, the approach includes processing and/or facilitating a processing of (a) the at least one first pixel; (b) the at least one second pixel; (c) metadata associated with at least one of the at least one first pixel and the second pixel; or (d) a combination thereof to determine at least one confidence value, wherein the at least one confidence value is indicative of an estimated level of geometric distortion resulting from projecting the at least one first pixel onto the at least one second pixel.

Abstract: Systems and methods for determining and displaying reserve estimates for a reservoir by generating a table and, optionally, a report and/or a graph for the reserve estimates and predefined identification properties that uniquely describe the reserve estimates.

Abstract: Objects within two-dimensional video data are modeled by three-dimensional models as a function of object type and motion through manually calibrating a two-dimensional image to the three spatial dimensions of a three-dimensional modeling cube. Calibrated three-dimensional locations of an object in motion in the two-dimensional image field of view of a video data input are determined and used to determine a heading direction of the object as a function of the camera calibration and determined movement between the determined three-dimensional locations. The two-dimensional object image is replaced in the video data input with an object-type three-dimensional polygonal model having a projected bounding box that best matches a bounding box of an image blob, the model oriented in the determined heading direction. The bounding box of the replacing model is then scaled to fit the object image blob bounding box, and rendered with extracted image features.