Abstract: Among other things, one or more techniques and/or systems are disclosed for positioning point-of-interest (POI) data in a planar panorama image, generated from a plurality of relatively sequential images. First POI data with a first geo-location and second POI data with a second geo-location can be received for the planar panorama image, and first and second data tags can be created that respectively comprise at least some of the first and second POI data. A cluster geo-location may be identified for the first and second data tags based at least upon the first and second geo-locations, and the first and second data tags can be clustered at the cluster geo-location in the planar panorama image. The first and second data tags can be re-clustered (e.g., moved around) and displayed at different locations within the planar panorama image in response to a zoom operation, for example.

Abstract: The present invention provides a method to resolve a technical problem of a “ghost”. The method is applied to a terminal that includes a first camera lens and a second camera lens, where the both lenses are located on a same side of the terminal. The method includes: obtaining a first image that is captured by the first camera lens and is about a first area, and a second image that is captured at a same moment by the second camera lens and is about a second area; performing translation compensation on the second image by using the first image as a reference image; and fusing the first image and the second image that is obtained after translation compensation is performed, to generate a third image, where a resolution of the third image is higher than a resolution of the first image and a resolution of the second image.

Abstract: Representative methods and systems are disclosed for reducing image distortion or increasing spatial resolution in echo planar magnetic resonance imaging. In representative embodiments, a targeted field of view (FOV) image is divided into segments, with each segment having a predetermined overlap region with an adjacent segment, such as in a phase-encoding direction. Image data is acquired for each segment, sequentially or simultaneously, using a reduced phase-encoding FOV with a 2D radiofrequency (RF) excitation pulse, and rotated and scaled magnetic field gradients. The 2D RF excitation pulse may also be modulated, such as onto a plurality of different carrier frequencies, for simultaneous acquisition of multiple segments in the same imaging plane. Using the spatial response of the 2D RF excitation pulse, the acquired image data for each segment of the plurality of segments is combined to generate a combined magnetic resonance image having the targeted field of view.

Abstract: A method for attenuating banding in image data may involve receiving a stream of input pixels. The method may then include applying a bi-lateral filter to a first portion of the stream of input pixels to generate a first filtered output and applying a high pass filter to a second portion of the stream of input pixels to generate a second filtered output. The method may then determine a local activity and a local intensity associated with the first portion of the stream. The method may then include blending the first filtered output with the first portion of the stream of input pixels based at least in part on the local activity and the local intensity to generate a third filtered output. Afterward, the method may combine the third filtered output with the second filtered output to generate a fourth filtered output that may be output as the image data.

Abstract: An image capture device of the present disclosure is capable of recording light-ray information including a travelling direction of a light ray and an intensity of the light ray in the travelling direction, and includes: a main lens; an image sensor; microlenses arranged between the main lens and the image sensor; a dirt detector that detects a dirt region on or near the main lens based on an inclination of a straight line on an epipolar plane image that is produced by separating pixels on the image sensor so as to correspond to a plurality of sub-apertures existing on the main lens and arranging the separated pixels in a parallax direction; and a dirt remover that reconstructs pixels of the dirt region by using pixels outside the dirt region.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to acquire correction information on a luminance value of a contrast image, based on concentration of a contrast material and thickness of the contrast material in a projection direction in a device that is inserted into a blood vessel, in the contrast image. The processing circuitry is configured to correct the contrast image using the correction information.

Abstract: A system is provided for standardizing digital histological images so that the color space for a histological image correlates with the color space of a template image of the histological image. The image data for the image is segmented into a plurality of subsets that correspond to different tissue classes in the image. The image data for each subset is then compared with a corresponding subset in the template image. Based on the comparison, the color channels for the histological image subsets are shifted to create a series of standardized subsets, which are then combined to create a standardized image.

Abstract: A method and an apparatus for image colorization. A first image obtaining unit obtains an original image. A second image obtaining unit obtains an auxiliary image comprising information about target colors for pixels of the original image. A Guided Image Filter then filters the auxiliary image using the original image as a Guiding Image to generate an output image.

Abstract: A medical image diagnostic apparatus includes storage circuitry and processing circuitry. The storage circuitry is configured to store three-dimensional medical image data that is obtained by imaging a subject. The processing circuitry is configured to set a region of attention in each of medical images of the three-dimensional medical image data corresponding to at least two directions. The processing circuitry is configured to calculate, based on the regions of attention, a region of interest in the three-dimensional medical image data on the subject. The processing circuitry is configured to calculate, based on voxel values of the region of interest, a parameter value relating to image processing on a medical image that is generated from the three-dimensional medical image dat. The processing circuitry is configured to generate a display image by performing rendering processing on the basis of the three-dimensional medical image data and the parameter value.

Abstract: A method and system for verifying the accuracy of a copy of the Holy Quran and other Arabic documents is disclosed. The method includes preparing a digital master of an Arabic document and sizing the digital image to preselected dimensions, making gamma corrections and converting gray images to black or white and comparing a printed copy with said digital master and marking differences to indicate artifacts and omissions.

Abstract: A cosmetic evaluation system for electronic devices, using at least two cameras to evaluate the cosmetic condition of an electronic device.

Abstract: A device for identifying an end of a fiber tape rolling over a composite structure is presented. The device includes a light source disposed proximate to the composite structure and configured to project a line of light at a first angle on the fiber tape rolling over the composite structure. Also, the device includes an image capturing unit disposed proximate to the composite structure and configured to capture an image of the line of light on the fiber tape at a second angle. Further, the device includes a controller coupled to the image capturing unit and configured to process the captured image to detect a discontinuity in the line of light on the fiber tape and identify the end of the fiber tape based on the detected discontinuity in the line of light on the fiber tape.

Abstract: Provided is an object image measurement apparatus including an image capturing part that image-captures an object; a movement mechanism that changes an image capturing position of the image capturing part to the object; and a calculation part that calculates a correction value from a first captured image group acquired by placing the image capturing part static at each of a plurality of image capturing positions and a second captured image group acquired by relatively moving the image capturing part so as to pass each of a plurality of the image capturing positions. The first captured image group and the second captured image group are captured image groups of images captured at a plurality of the predetermined image capturing positions by the image capturing part.

Abstract: A method for determining fabric and upscaled properties of a geological sample, such as a rock sample. A system for the method also is provided.

Abstract: A tire inspection method includes: capturing a transmission image of a tire including a steel chafer at a bead portion; generating an image at an inspection device from the captured image of a full revolution of the tire with the steel chafer portions extracted using a spatial filter generated in accordance with an incline of the wires of the steel chafer; detecting a locus of a front side edge and a back side edge of the steel chafer; generating an image from the captured image with the steel chafer portions removed; detecting a locus of a turned-up edge of a carcass from this image; and determining at the inspection device the position of the carcass to be appropriate or not on the basis of the locus of the turned-up edge of the carcass.

Abstract: Methods and systems for angiographic imaging with optical coherence tomography (OCT) are described using ratio-based and angiographic deviation based calculations. In using these calculations to determine motion, arbitrary interframe permutations may be used, post-calculated, non-linear results for projection visualization may be averaged, poor matches may be eliminated on an A-line by A-line basis, windowing functions may be used to improve results, partial spectrums may be used when capturing data, and a minimum intensity threshold may be used for determining which pixels to use.

Abstract: A medical image processing system that can accept commissions to perform 3D formation using a 3D forming apparatus includes a storage unit, a selection accepting unit, a part identifying unit, and a screen generating unit. The storage unit stores a medical image, and body part information representing a human body part in the medical image. The selection accepting unit accepts selection with regard to the medical image stored in the storage unit. The part identifying unit identifies the body part included in the medical image, using the body part information corresponding to the medical image regarding which the selection accepting unit has accepted selection. The screen generating unit generates a screen that can accept a commission to form a formed object of the body part identified by the part identifying unit.

Abstract: A method, computer system and computer readable storage medium for searching for one or more images having a region of interest similar to the region of a subject, including: receiving imaging data comprising a plurality of image elements of the region of interest of the subject; segmenting the imaging data of the region of interest of the subject into a plurality of sub-regions corresponding to various structures at a plurality of levels of granularity, the plurality of levels of granularity having a relationship such that a level of granularity has fewer structures at a lower level of granularity; and calculating at each of the plurality of levels of granularity an abnormality factor or risk factor for the segmented various structures of said region of interest, to provide a segmented said region of interest of said subject with at least one of said abnormality factor or risk factor associated therewith.

Abstract: There is provided an imaging control apparatus including an imaging control section configured to control an imaging section to capture a predetermined area in a body cavity, a comparison section configured to compare a captured image captured by the imaging section with a reference image, and a storage control section configured to execute a control to store the captured image in response to a comparison result by the comparison section.

Abstract: A method for analyzing a microstructure of a porous body is, for example, a method using porous-body data in which positional information providing a position of a voxel of a porous body obtained by three-dimensional scanning is associated with voxel type information including information that allows determination as to whether the voxel is a spatial voxel representing a space or an object voxel representing an object. This method includes (a) a step of defining an imaginary surface that is in contact with at least one object voxel present on a surface of the porous body, and identifying, as opening-related voxels, spatial voxels that are in contact with the imaginary surface and spatial voxels that continuously lie in a linear direction from the imaginary surface; and (b) a step of analyzing a microstructure of the porous body on a basis of the opening-related voxels.

Abstract: Computer systems, computer-implemented methods, and non-transitory computer readable storage media for gross feature recognition including receiving an image comprising a plurality of image elements representing the region of interest of the subject. Gross feature recognition can further include co-registering the image to an atlas to segment the plurality of image elements into a plurality of sub-regions corresponding to structures in the atlas, where the structures in the atlas are ordered in a first rank order according to a predetermined feature. Further included can be ordering the plurality of sub-regions in a second rank order according to the predetermined feature. Further included can be identifying as gross features one or more of the plurality of sub-regions whose positions in the first rank order of the ordered sub-regions differ from positions in the second rank order of the corresponding ordered structures in the atlas.

Abstract: An information processing apparatus, an information processing method, and a cell analysis system are provided.

Abstract: An apparatus and method of estimating an image optical flow are provided. The method includes receiving temporally-consecutive first and second images; calculating rates of change of brightness values of pixels in the received temporally-consecutive first and second images; calculating a first optical flow estimation result value of a first pixel within the first image and a second optical flow estimation result value of a second pixel within the second image by using the calculated rates of change; comparing the first optical flow estimation result value with the second optical flow estimation result value; and correcting the first optical flow estimation result value and the second optical flow estimation result value by using a result of the comparison.

Abstract: The present invention relates to a method for simulating an image recording by an optical sensor of a coordinate measuring machine for inspecting a measurement object, comprising the following steps: providing a first data set representing a model of the measurement object, a second data set representing a model of an illumination of the measurement object, and a third data set representing a model of an optics of the optical sensor, and rendering an image stack on the basis of the first data set, the second data set and the third data set, wherein the image stack has a plurality of virtual images of at least one partial region of the measurement object, wherein each virtual image is rendered at least with a different second and/or different third data set. Furthermore, the present invention relates to a method for optimizing an image recording by a coordinate measuring machine.

Abstract: Method and/or apparatus embodiments for automatically identifying caries, executed at least in part on data processing hardware, can acquire, multiple reflectance images of a tooth, wherein each reflectance image includes at least red, green, and blue intensity values for a region of pixels corresponding to the tooth. Each reflectance image in the plurality of reflectance images is processed by (i) defining a tooth region within the reflectance image; and (ii) identifying caries within the defined tooth region for each reflectance image. The reflectance images are registered and the registered processed images are combined to form a result image that shows the identified caries. In one embodiment, multiple reflectance images of a tooth are taken from substantially the same camera position.

Abstract: An image processing apparatus generates a normal image, when lighting correction of an image is performed using three-dimensional shape data. Three-dimensional shape data of a predetermined object is adjusted with a subject in position, based on a feature pattern detected in image data, and lighting processing for correcting a pixel value of the image data is performed based on the adjusted three-dimensional shape data, distance information of the subject, and a position of a virtual light source. When the three-dimensional shape data is adjusted with the image data in position, a region having a large irregularity in the three-dimensional shape data is preferentially adjusted in position.

Abstract: Using the same image sensor to capture both a two-dimensional (2D) image of a three-dimensional (3D) object and 3D depth measurements for the object. A laser point-scans the surface of the object with light spots, which are detected by a pixel array in the image sensor to generate the 3D depth profile of the object using triangulation. Each row of pixels in the pixel array forms an epipolar line of the corresponding laser scan line. Timestamping provides a correspondence between the pixel location of a captured light spot and the respective scan angle of the laser to remove any ambiguity in triangulation. An Analog-to-Digital Converter (ADC) in the image sensor generates a multi-bit output in the 2D mode and a binary output in the 3D mode to generate timestamps. Strong ambient light is rejected by switching the image sensor to a 3D logarithmic mode from a 3D linear mode.

Abstract: Using the same image sensor to capture both a two-dimensional (2D) image of a three-dimensional (3D) object and 3D depth measurements for the object. A laser point-scans the surface of the object with light spots, which are detected by a pixel array in the image sensor to generate the 3D depth profile of the object using triangulation. Each row of pixels in the pixel array forms an epipolar line of the corresponding laser scan line. Timestamping provides a correspondence between the pixel location of a captured light spot and the respective scan angle of the laser to remove any ambiguity in triangulation. An Analog-to-Digital Converter (ADC) in the image sensor generates a multi-bit output in the 2D mode and a binary output in the 3D mode to generate timestamps. Strong ambient light is rejected by switching the image sensor to a 3D logarithmic mode from a 3D linear mode.

Abstract: The present disclosure provides a depth determination method, a depth determination device and an electronic device. The depth determination method includes steps of: acquiring a color image and a depth image from a camera; performing image identification based on the color image, and determining a first image region of the color image where a feature object is recorded; determining a second image region of the depth image corresponding to the first image region in accordance with a correspondence between pixels of the color image and the depth image; and determining a feature depth of the feature object based on depth information corresponding to the pixels at the second image region.

Abstract: Embodiments disclosed pertain to the use of user equipment (UE) for the generation of a 3D exterior envelope of a structure based on captured images and a measurement set associated with each captured image. In some embodiments, a sequence of exterior images of a structure is captured and a corresponding measurement set comprising Inertial Measurement Unit (IMU) measurements, wireless measurements (including Global Navigation Satellite (GNSS) measurements) and/or other non-wireless sensor measurements may be obtained concurrently. A closed-loop trajectory of the UE in global coordinates may be determined and a 3D structural envelope of the structure may be obtained based on the closed loop trajectory and feature points in a subset of images selected from the sequence of exterior images of the structure.

Abstract: A method of machine vision includes identifying contours of fruits in a first image and a second image and performing two-way matching of contours to identify pairs of matched contours, each pair comprising a respective first contour in the first image that matches a respective second contour in the second image. For each pair of matched contours, a respective affine transformation that transforms points in the respective second contour to points in the respective first contour is identified. The second image is mapped to the first image using the affine transformations to form a composite image and the number of fruits in the composite image is counted.

Abstract: A method for segmenting bone in spectral image data is described herein. The spectral image data includes at least a first set of image data corresponding to a first energy and second set of image data corresponding to a second different energy. The method includes obtaining the spectral image data. The method further includes extracting a set of features for each voxel in spectral image data. The method further includes determining, for each voxel, a probability that each voxel represents bone structure based on the set of features. The method further includes extracting bone structure from the spectral image data based on the probabilities.

Abstract: A system and method is provided which obtains different medical images (210) showing an anatomical structure of a patient and having been acquired by different medical imaging modalities and/or different medical imaging protocols. The system is configured for fitting a first deformable model to the anatomical structure in the first medical image (220A), fitting a second deformable model to the anatomical structure in the second medical image (220B), mutually aligning the first fitted model and the second fitted model (230), and subsequently fusing the first fitted model and the second fitted model to obtain a fused model (240) by augmenting the first fitted model with a part of the second fitted model which is missing in the first fitted model; or adjusting or replacing a part of the first fitted model based on a corresponding part of the second fitted model having obtained a better fit.

Abstract: Techniques and systems for tracking multiple objects over a common time period and identifying (i.e., disambiguating) the objects from one another. As described herein, each object may include a respective light source (e.g., one or more LEDs) that may illuminate according to a defined lighting pattern. One or more cameras may capture images of a scene that includes the objects and the images may be analyzed to identify a location of each respective light source within the scene. By identifying these locations over multiple images, the movement of each object may be determined. In some instances, a system that tracks the movement of the objects may iterate through instructing each of the objects to illuminate its light source according to an identification lighting pattern, while other light source(s) of the other respective object(s) continue illuminating their light sources according to a default lighting pattern.

Abstract: A system and method for tracking, identifying, and labeling objects or features of interest, such as follicular units is provided. In some embodiments, tracking is accomplished using unique signature of the follicular unit and image stabilization techniques. According to some aspects pixel data of a region of interest in a first image is compared to pixel data of the regions of interest in a second image, and based on a result of the comparison of pixel data in the region of interest in the first and second images and the signature of the follicular unit, locating the follicular unit in the second image. In some embodiments the follicular unit is searched for in the direction of a motion vector.

Abstract: A method for determining a pose of a camera includes obtaining both a first image of a scene and a second image of the scene, where both the first and second images are captured by the camera. A first set of features is extracted from the first image and a second set of features is extracted from the second set of features. The method includes calculating a value of a visual-motion parameter based on the first set of features and the second set of features without matching features of the first set with features of the second set. The method also includes determining the pose of the camera based, at least, on the value of the visual motion parameter.

Abstract: A plurality of high speed tracking cameras are pointed towards a routine hovering area of an in-the-field sports participant who routinely hovers about that area. Spots within the hovering area are registered relative to a predetermined multi-dimensional coordinates reference frame (e.g., Xw, Yw, Zw, Tw) such that two-dimensional coordinates of 2D images captured by the high speed tracking cameras can be converted to multi-dimensional coordinates of the reference frame. A body part recognizing unit recognizes 2D locations of a specific body part in the 2D captured images and a mapping unit maps them into the multi-dimensional coordinates of the reference frame. A multi-dimensional curve generator then generates a multi-dimensional motion curve describing motion of the body part based on the mapped coordinates (e.g., Xw, Yw, Zw, Tw).

Abstract: This disclosure is directed to color matching with shade detection. A method of color matching can include: receiving a camera image of a target, the camera image being collected in the presence of flash illumination; receiving a color sensor spectral measurement of the target, the color sensor spectral measurement being collected in the presence of flash illumination; determining specular and diffuse fractions of a flash intensity profile of the camera image of the target; determining parallax based upon a detected location of a flash centroid within the camera image of the target; converting the parallax to a range measurement for the target; calculating an expected white level for the target based upon the specular and diffuse fractions and the range measurement for the target; and calculating a shade of a detected color based upon the color sensor spectral measurement and the expected white level for the target.

Abstract: An device, method and program may properly perform gamut conversion of content and be applied to a gamut conversion device. A restoration conversion state confirming unit performs confirmation such as gamut conversion state of image data read out from an optical disc and the existence or not of restoration metadata. An information exchange unit communicates with an output device via a communication unit and performs information exchange such as the existence or not of restoration processing functionality and gamut conversion functionality and the like. A determining unit determines whether or not restoration processing is performed with a playing device based on information obtained by the restoration conversion state confirming unit and the information exchange unit. Similarly, the determining unit determines whether or not to perform gamut conversion processing with the playing device based on information obtained by the restoration conversion state confirming unit and the information exchange unit.

Abstract: Image synthesis methods and units are described which can be implemented in real-time on low-cost and mobile devices. A set of sample blocks from an input image are defined. For each combination of sample blocks, a matching block is determined, which provides a best match for that combination when positioned in conjunction with a predetermined arrangement of the sample blocks of the combination. A match table can then be created and stored which includes an indication of the determined matching block for each combination of sample blocks from the input image. The match table can be used to generate a synthesised image, which may be much larger than the input image. For example, the match table may be used to determine an index table which comprises indications of sample blocks to be positioned in a synthesis arrangement for generating the synthesised image.

Abstract: An image processing obtains a plurality of measurement data from a measurement apparatus for obtaining the plurality of measurement data of an object, divides the plurality of measurement data into a plurality of subsets, distributes the measurement data included in the plurality of subsets to operation units in each repetitive operation, divides an image region into a plurality of regions, distributes the plurality of regions to the operation units, updates a result obtained by each operation unit in the distributed region information using the distributed measurement data, thereby performing the reconstruction process and generating a partial reconstructed image on each operation unit, and combines the partial reconstructed images to generate the reconstructed image.

Abstract: A multi-spectral CT imaging method, preferably a CT imaging method, is described. Spectrally resolved projection scan data is acquired from a region to be imaged of an examination object. The data is assigned to a plurality of pre-determined different partial spectra. Spectrally resolved image data is reconstructed with a plurality of attenuation values for each image point of the region to be imaged. The attenuation values are each assigned to one of the pre-determined different partial spectra. Furthermore, an extremal attenuation value is determined for each image point on the basis of the plurality of attenuation values. A representative image data set is determined such that the determined extremal attenuation value is assigned to each image point.

Abstract: In an image processing apparatus, a display control unit controls displaying such that a subtraction image between a plurality of fundus images of an eye corresponding to a plurality of three-dimensional tomographic images obtained by capturing images of the eye at different times is displayed on a display unit, and a specifying unit specifies a plurality of two-dimensional tomographic images, in the plurality of three-dimensional tomographic images, to be displayed on the display unit, by a position specified on the displayed subtraction image.

Abstract: A method and apparatus to perform tile binning for tile-based rendering include obtaining information about paths defining an object to be rendered. The method classifies one of the paths into a first group and another of the paths into a second group based on shapes of the paths, and performs the tile binning based on the classification.

Abstract: Systems and methods are provided to improve map type data visualizations in which custom images are used as background against which datasets are visualized. In various examples, coordinate systems are automatically generated and applied to the custom image based on the positional data of the dataset. The custom image may replace a pre-existing background, and the plotting of the dataset may be automatically modified based on differences between the pre-existing background and the custom image. Aspects provide for enhanced user control of the map type visualization to further modify how datasets are plotted and how visualizations are presented. Example modifications include offsets and scales, which may be automatically determined and applied or set manually. In some examples, the custom image may be part of a set of image tiles, which are operable to provide various levels of detail from several viewing angles and heights.

Abstract: A method, a system, and a computer readable storage medium for automatically adjusting a chart on a display device. The adjustment is implemented in a chart control, which is installed as a library used in chart applications. An application developer determines the extent to which the chart control is implemented for each chart. Application developers implement chart control libraries so that a user of an application having a chart that references the chart control library can experience at least the following features, irrelevant of chart size, screen size, and screen type: responsive tooltip, zoom in, zoom out, responsive zoom slider, action on selection and selection bar, thumbnail mode, responsive toolbar, responsive legend, responsive format, responsive display or an axis, and responsive display of horizontal bars.

Abstract: In a data visualization system, a method of creating a visual representation of data, the method including the steps of providing instructions to an end user on a display device to assist the end user in: constructing multiple graphical representations of data retrieved from a data storage module in communication with the data visualization system, where each graphical representation is one of a predefined type and includes multiple layers of elements that contribute to the end user's understanding of the data; arranging multiple graphical representations of different types within the visual representation in a manner that enables the end user to understand and focus on the data being represented; and a display module displaying the visual representation on the display device; the method further including the steps of a determination module determining one or more data elements within the graphical representations that are based on variable data, the display module displaying the determined data element on th

Abstract: The present application relates to a display controller and display system and a method of operating thereof. At a filtering stage display image data are generated on the basis of received pixel-mapped image data. The filtering operation accepts a plurality of pixels out of the received image data as input values to generate a pixel of the display image data as output value. It is further determined whether the plurality of pixels being the input values to the filtering operation are marked. If all pixels thereof are marked, the output pixel being the output value is marked. The marked pixels in the display image data are validated on the basis reference data.

Abstract: A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include attaining data representing features of a font capable of representing one or more glyphs. Operations also include determining a rating for pairing the font and at least one other font using machine learning, the features of the font, and one or more rules included in a set of rules.

Abstract: Various embodiments are generally directed to techniques to merge a virtual map derived from sensors of computing devices moved about an interior of a structure with a corresponding physical map. An apparatus to merge maps includes a processor component; and a merged map generator for execution by the processor component to merge a virtual map and a physical map to generate a merged map, the virtual map comprising indications of virtual pathways through an interior of a structure based on sensors, and the physical map comprising indications of physical pathways of the interior. Other embodiments are described and claimed.