Abstract: A plurality of captured images is first acquired by capturing images of an object while changing a focal position along an optical axis. Then, variations in magnification among the captured images are acquired. On the basis of the variations in magnification, corresponding pixels in the captured images are specified, and definition is compared among the corresponding pixels. Then, an image reference value indicating the number of a captured image that is to be referenced as the luminance value of each coordinates in an omnifocal image is determined on the basis of the result of comparison of the definition. The omnifocal image is thereafter generated by referencing the luminance value in the captured image indicated by the image reference value for each coordinates. In this way, the omnifocal image that reflects the position and size of the object accurately can be generated.

Abstract: Colored three-dimensional digital model generation techniques and systems are described. In one example, scanning techniques are employed by a scanning system that scans a physical object while disposed within packaging to form a three-dimension digital model. A model coloring system is employed to color the three-dimensional digital model. A two-dimensional digital image is employed that captures the same or similar physical object. In one example, features of the model are matched to the image. This is then used to align a viewing perspective with respect to the model with a viewing perspective of the object within the digital image, e.g., to find which “view” of the model corresponds with the image. The color is then applied from the digital image to the model, e.g., from pixels of the image to corresponding points in the model.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first image of an object and a second image of the object; a difference unit configured to obtain a difference image after the first image and the second image are registered; and a change unit configured to perform processing of changing a pixel value in the difference image based on a likelihood calculated using a pixel value in the first image and a pixel value in the second image.

Abstract: A reduced noise image can be formed from a set of images. One of the images of the set can be selected to be a reference image and other images of the set are transformed such that they are better aligned with the reference image. A measure of the alignment of each image with the reference image is determined. At least some of the transformed images can then be combined using weights which depend on the alignment of the transformed image with the reference image to thereby form the reduced noise image. By weighting the images according to their alignment with the reference image the effects of misalignment between the images in the combined image are reduced. Furthermore, motion correction may be applied to the reduced noise image.

Abstract: This application provides an image matching method, an image matching apparatus, an image matching system, and a storage medium, the image matching method includes: an extension step of extending an original reference image into one or more extended reference images, wherein the one or more extended reference images is obtained by deforming the original reference image; and an image matching step of image-matching a detected image with candidate reference images that include the original reference image and the one or more extended reference images.

Abstract: The present invention is directed to a pattern measuring method and the like for deriving a roughness evaluation value from which measurement noise having a frequency component is removed.

Abstract: The invention relates to novel imaging-based biomarkers for characterizing the structure or function of a human or animal brain. These biomarkers can be a weighted confluency sum score (WCSS) or a percent shielding by brain lesions (SbBL). Methods implementing these biomarkers are also disclosed.

Abstract: Methods and systems related to image segmentation are disclosed. In some examples, a computer system obtains segmentation parameters based on a selection of a region of a displayed image. The selection of the region is associated with a select signal generated by an input device. In response to obtaining the segmentation parameters, the computer system processes the image based on the segmentation parameters. The computer system further adjusts the segmentation parameters based on one or more move signals generated by the input device. The move signal is associated with moving of a representation of the input device within the image. The computer system processes the image based on the one or more adjusted segmentation parameters and displays an image of the selected region based on the processing of the image using the adjusted segmentation parameters.

Abstract: In certain embodiments, a system and method for generating a stereoscopic image pair from a 2D satellite or aerial image and a 3D model.

Abstract: A method and system for calibration parameter validation. The method includes performing a camera calibration generating a calibration result, applying a coarse pass-fail criteria to the calibration result and rejecting the camera if the calibration result does not pass the coarse pass fail-criteria. The method further includes applying a fine pass-fail criteria based upon at least information stored at a central repository to the calibration result if the calibration result passes the coarse pass-fail criteria, rejecting the camera if the calibration result does not pass the fine pass fail-criteria, accepting the camera if the calibration result passes the fine pass fail-criteria, and entering the calibration result into the central repository. The information stored at the central repository includes key performance indicator/key performance metric information for one or more measured parameters of the calibration result.

Abstract: Systems and techniques are described for topography simulation of etching and/or deposition on a physical structure. The structural information can be represented using a three-dimensional (3D) voxel grid data structure. For each particle emitted by a Monte-Carlo particle emission model, a topographical modification caused by the particle can be determined by (1) calculating fluxes, (2) evaluating surface reactions, and (3) modifying the physical structure. The effect of the etching and/or deposition on a physical structure can be displayed by rendering the 3D voxel grid data structure.

Abstract: A method is provided for readjusting a worn head-up display via an SVS synthetic vision system for viewing information pertaining to the piloting of an aircraft, the information being conformal with the real outside world, comprises steps consisting in: launching the readjusting method by displaying all or some of the conformal piloting information in a readjusting state, frozen on the display with respect to head movements and free with respect to the movement of the aircraft; then carrying out a series of N measurements of relative orientations {circumflex over (K)}l of the head corresponding to targeting actions Vi that superpose the various elements of piloting information displayed in the readjusting state with corresponding landmarks of the real outside world; then conjointly determining the relative orientation M01 between the display D0 and the tracking mobile element D1 and the relative orientation M3t of the inertial device D3 with respect to the Earth on the basis of a system of dual harmonization

Abstract: Techniques are disclosed for adding time data to scan lines of an image frame. In some examples, an image sensor may perform a rolling shutter image capture to produce the scan lines. Data captured by another sensor may be associated with at least a portion of a scan line based at least in part on the time data added to the scan line in some examples. Furthermore, techniques are disclosed for synchronizing data capture by multiple sensors. For example, a rolling shutter image capture performed by an image sensor may be synchronized with a data capture performed by another sensor.

Abstract: The present disclosure relates to systems and methods for image splicing. The systems and methods may acquire a first image and a second image, determine a plurality of first feature points in a first region of the first image, determine a plurality of second feature points in a second region of the second image, then match the plurality of first feature points with the plurality of second feature points to generate a plurality of point pairs. Based on the plurality of point pairs, a third region on the first image and a fourth region on the second image may be determined. Finally, a third image may be generated based on the first image and the second image, wherein the third region of the first image may overlap with the fourth region of the second image in the third image.

Abstract: A method of structural masking for progressive health monitoring of a structural component includes receiving a current image of the structural component. A processor aligns the current image and a reference image of the structural component. The processor performs a structure estimation on the current image and the reference image to produce a current structure estimate image and a reference structure estimate image. The processor generates a structural mask from the reference structure estimate image. The processor masks the current structure estimate image with the structural mask to identify one or more health monitoring analysis regions including a potential defect or damaged area appearing in the masked current structure estimate image that does not appear in the reference structure estimate image.

Abstract: An infrared measurement system and method including taking multiple time lapse infrared images and visual images of a large-scale object over an extended period of time and analyzing such in order to better measure internal defects are described. Data collected over extended intervals of time are processed to provide measurements which are not affected by ambient conditions and the material properties of the object. The system may include infrared camera(s), visual (video) camera(s), external sensor(s), and an embedded computer.

Abstract: An augmented reality (AR) display application generates mapped visualization content overlaid on a real world physical environment. The AR display application receives sensor feeds, location information, and orientation information from wearable devices within the environment. A tessellation surface is visually mapped to surfaces of the environment based on a depth-based point cloud. A texture is applied to the tessellation surface and the tessellation may be viewed overlaying the surfaces of the environment via a wearable device.

Abstract: Techniques for locating features of interest in warped images are described. For example, a destination image is generated from a source image based on warping a portion of the source image according to a backward map. Each of the two images is associated with a mesh having a tile-based geometry. The backward map maps points from the destination mesh to pixels in the source image. Triangles are formed from the tiles of the destination mesh. A forward map is generated based on the triangles and the backward map. The forward map maps points from the source mesh to pixels in the destination image. A point from the source mesh is identified that corresponds to a pixel of a feature of interest. The forward map is applied to this point to locate a pixel in the destination image. This pixel corresponds to the location of the feature in the destination image.

Abstract: A system and method are provided for discriminating and tracking a coherently structured feature dynamically defined in evolving manner within a migratory medium. A data set is captured for a plurality of physical points defined within a multi-dimensional physical space, in terms of a plurality of scalar parameter values. At least one pre-selected target feature type is established, as is a scalar field predefined by at least one of the scalar parameters. A sparse set of key points is selectively generated a within the scalar field. Each key point is associated with one of the physical points and descriptive information adaptively determined therefor from the data content within a neighborhood of the physical point coinciding therewith. At least one predetermined feature-based operation is executed responsive to the descriptive information of the key points as a surrogate for execution generally on the data set.

Abstract: A method of generating image alignment data for medical images. The method comprises determining prospective image pair registration connections, determining registration weighting values for the determined prospective image pair registration connections based at least partly on intra-image attribute data, determining optimal registration paths for image pairs based at least partly on the registration weighting values for the prospective image pair registration connections, and generating image alignment data for the determined optimal registration paths.

Abstract: An image registration system and method for matching images having fundamentally different characteristics. One exemplary feature of the system and method includes the use of an enhanced phase correlation method combined with a coarse sensor model to hypothesize and match a custom match metric to determine a best solution. The system and method may be operated on a non-transitory computer-readable medium storing a plurality of instructions which when executed by one or more processors causes the one or more processors to perform the image registration method utilizing the enhanced phase correlation.

Abstract: A method for generating an HDR image includes (i) generating, from a plurality of single-exposure images of a scene, having a respective one of a plurality of exposure values, a sharpness map of sharpness values of the single-exposure images, and (ii) generating, from the plurality of single-exposure images, an exposure-value map of composite exposure values of the single-exposure images. The method also includes (iii) determining an optimal exposure value from the sharpness map and the exposure-value map, and (iv) generating the HDR image by combining a reference image of the scene, captured with the optimal exposure value, and at least two of the plurality of single-exposure images. An exposure selector for generating an HDR image, from the plurality of single-exposure images, includes a memory and a microprocessor. The memory stores non-transitory computer-readable instructions and is adapted to store the plurality of single-exposure images.

Abstract: The present invention relates to a device and method for registration of two images. To increase the accuracy of the registration the device comprises an input unit (126) for receiving one or more pairs of negative landmarks, which are indicated in the two images, a pair comprising two negative landmarks, one in each image, which structures are not identical and should not be aligned by the registration.

Abstract: The invention is a method of geo-positioning geographic data for visualization of a geographic area, particularly a mine site, and a device to work the method.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first image of an object and a second image of the object; a difference unit configured to obtain a difference image after the first image and the second image are registered; and a change unit configured to perform processing of changing a pixel value in the difference image based on a likelihood calculated using a pixel value in the first image and a pixel value in the second image.

Abstract: An ultrasonic diagnostic imaging system produces an image of shear wave velocities by transmitting push pulses to generate shear waves. A plurality of tracking lines are transmitted and echoes received by a focusing beamformer adjacent to the location of the push pulses. The tracking lines are sampled in a time-interleaved manner. The echo data acquired along each tracking line is processed to determine the time of peak tissue displacement caused by the shear waves at points along the tracking line, and the times of peaks at adjacent tracking lines compared to compute a local shear wave velocity. The resultant map of shear wave velocity values is color-coded and displayed over an anatomical image of the region of interest.

Abstract: A 3D-HEVC inter-frame information hiding method based on visual perception includes steps of information embedding and information extraction. In the step of information embedding, the human visual perception characteristic is considered, stereo salient images are obtained by a stereo image salient model, and the stereo salient images are divided into salient blocks and non-salient blocks with an otsu threshold. The coding quantization parameters are modified according to different modulation rules for different regions. Then, based on the modified quantization parameters, the coding-tree-units are coded to complete the information embedding. In the step of information extraction, no original video is needed, no any side information needs to be transmitted, and the secret information can be blindly extracted.

Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.

Abstract: Provided is an object detection device capable of reliably recognizing a vehicle. This object detection device detects multiple three-dimensional objects from a left image and a right image captured with a left imaging unit and a right imaging unit (S103), extracts, as combination candidates from among the multiple three-dimensional objects, two three-dimensional objects which exist with an interval to the left/right, and determines whether a sparse parallax region, which is a region having a smaller parallax density than left/right regions, exists in an intermediate region between the two three-dimensional objects extracted as combination candidates.

Abstract: An enhanced object detecting method and apparatus is presented. A plurality of successive frames is captured by a monocular camera and the image data of the captured frames are transformed with respect to a predetermined point of view. For instance, the images may be transformed in order to obtain a top-down view. Particular features such as lines are extracted from the transformed image data, and corresponding features of successive frames are matched. An angular change of corresponding features is determined and boundaries of an object are identified based on the angular change of the features.

Abstract: A method for implementing a radiation therapy knowledge exchange starts with searching a database of cases studies and selecting a case study. The selected case study is downloaded. The downloaded case study is applied to a medical case, wherein the downloaded case is applied using deformable image registration to deform reference images of the downloaded case to medical images of the medical case. After application of the downloaded case study, the medical case is uploaded to the network, wherein uploading the medical case allows at least the submitting clinician to download, review, and edit at least a portion of the medical case to create a reviewed medical case. Finally, the reviewed medical case is downloaded and applied to the medical case to create a final medical case.

Abstract: In an embodiment of the invention there is provided a method of visual localization, comprising: generating a plurality of virtual views, wherein each of the virtual views is associated with a location; obtaining a query image; determining the location where the query image was obtained on the basis of a comparison of the query image with said virtual views.

Abstract: Provided is a tomography apparatus including: a data acquisitor configured to obtain a first image by using tomography data acquired as a first X-ray generator for generating X-rays having a first energy rotates around an object over a first angular range and obtain a second image by using tomography data acquired as a second X-ray generator for generating X-rays having a second energy rotates around the object over a second angular range; a controller configured to acquire motion information representing an amount of motion of the object over time by using the first and second images; and an image reconstructor configured to reconstruct a target image showing the object at a target time point by using the motion information.

Abstract: A first inspection result regarding a construction is obtained, the first inspection result including a usage condition and a locational and environmental condition of the construction and an inspection image. An image feature of the inspection image is obtained from the first inspection result, the image feature including a damage feature. One or more second inspection results corresponding to one of the image feature or a construction condition that includes at least one of the usage condition or the locational and environmental condition are retrieved. A display unit displays the retrieved one or more second inspection results. One or more specific inspection results that correspond to the other of the image feature or the construction condition are retrieved from among the retrieved one or more second inspection results. The display unit displays the one or more specific inspection results preferentially over the other inspection results among the second inspection results.

Abstract: A method of generating a high dynamic range (HDR) image is provided that includes capturing a long exposure image and a short exposure image of a scene, computing a merging weight for each pixel location of the long exposure image based on a pixel value of the pixel location and a saturation threshold, and computing a pixel value for each pixel location of the HDR image as a weighted sum of corresponding pixel values in the long exposure image and the short exposure image, wherein a weight applied to a pixel value of the pixel location of the short exposure image and a weight applied to a pixel value of the pixel location in the pixel long exposure image are determined based on the merging weight computed for the pixel location and responsive to motion in a scene of the long exposure image and the short exposure image.

Abstract: There is provided a measurement circuit (30) for an x-ray detector (5). The measurement circuit (30) is configured to sample measurement data to generate data points and process the data points before read-out to produce new data points by combining two or more data points which have been acquired at different times such that the number of data points for read-out are less than the number of original data points.

Abstract: In a method and apparatus for movement correction for a magnetic resonance fingerprinting examination on an object under examination, a magnetic resonance signal shape of a region of the object is acquired using the magnetic resonance fingerprinting method, movement data for at least one sub-region of the region are detected movement information is generated from the acquired movement data, the acquired magnetic resonance signal shape is corrected with reference to the generated movement information, a signal comparison of the corrected magnetic resonance signal shape is made with multiple database signal shapes stored in a database, with a database value of at least one tissue parameter being assigned to each of the database signal shapes. A value of the at least one tissue parameter is assigned to the corrected signal shape as a result of the signal comparison.

Abstract: An image processing apparatus obtains a three-dimensional radiation image of a right region of substantially symmetrical regions, obtains a three-dimensional radiation image of a left region of the substantially symmetrical regions, performs alignment between the three-dimensional radiation image of the right region and the three-dimensional radiation image of the left region based on a feature position of the regions, and substantially symmetrically arranges and displays the three-dimensional radiation image of the right region and the three-dimensional radiation image of the left region which have been aligned.

Abstract: Systems, methods, and other embodiments are disclosed for correcting errors in the geo-spatial locations of acquired image data. In one embodiment, acquired aerial or satellite image data is segmented to generate extracted boundary data. The extracted boundary data represents boundaries of features of a portion of the Earth's surface, but at incorrect geo-spatial coordinates. The extracted boundary data is matched to expected boundary data derived from ground truth data. The expected boundary data represents boundaries of the features at correct geo-spatial coordinates. Adjustment parameters are generated that represent a geo-spatial misalignment between the extracted boundary data and the expected boundary data. Metadata in a header of the acquired image data is modified to include the adjustment parameters. The adjustment parameters may be applied to the acquired image data to generate corrected image data at correct geo-spatial coordinates.

Abstract: Referencing of image acquired in multiple rounds of imaging is disclosed. In certain implementations, a baseline round of images are acquired and registered to one another to establish a global transformation matrix. In a subsequent round of image acquisition, a limited number of field of view images are initially acquired and registered to the corresponding baseline images to solve for translation, rotation, and scale. The full set of baseline images is then acquired for the subsequent round and each image is pre-rotated and pre-scaled based on the transform determined for the subset of images. The pre-rotated, pre-scaled images are then registered using a translation-only transform.

Abstract: A second registration unit performs registration between an intraoperative live view obtained by an image obtaining unit and an associated image obtained by an associated image obtaining unit. At this time, the second registration unit extracts a plurality of feature points corresponding to one another from a registered intraoperative image registered with the associated image and a newly obtained intraoperative image, sets priority levels on the feature points corresponding to one another based on the associated image, obtains positional information indicating a relative positional difference between the registered intraoperative image and the newly obtained intraoperative image based on the feature points with the priority levels set thereon, and performs registration between the associated image and the newly obtained intraoperative image based on the positional information.

Abstract: The present disclosure relates to a method and device for enhancing readability and a computer-readable medium and belongs to the field of display technology. The method for enhancing readability includes acquiring image feature information of an image; identifying an image type of the image based on the image feature information; selecting a readability enhancing way corresponding to the image type; and enhancing the image by the readability enhancing way.

Abstract: The method according to the invention is a method for showing the localization error of a plurality of points of a georeferenced image, comprising the following steps: providing a georeferenced image, in which each image coordinate point is associated with announced values of the geographical coordinates defining the geographical localization of the object corresponding to that point of the georeferenced image; showing the georeferenced image. The method also comprises the following steps: providing, for each point of the plurality of points of the georeferenced image, an estimated value of the localization error specific to that point, said error not being uniform over the image; and showing the localization error for at least one point among the plurality of points of the georeferenced image so as to make it possible for a user to view the localization error.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of real-time alterations across graphical structures of an image by mapping the relativity between the structures; determining the correlation between the structures and a manually edited structure; referencing a deformation map that maps a correspondence for each point in the original structure with a point in the edited structure and applying a similar relative change throughout the remaining structures in the image.

Abstract: Described are methods, systems, and apparatus, including computer program products for calibrating machine vision systems. A system includes: one or more cameras; a motion rendering device; and a calibration module. The calibration module is configured to acquire, from a first camera of the one or more cameras, a plurality of images of a calibration target comprising a calibration pattern that provides a plurality of calibration features; extract calibration features of the plurality of calibration features from the plurality of images, wherein physical positions of the plurality of calibration features are in a calibration target length unit associated with the calibration target; determine a ratio between the calibration target length unit and a motion rendering device length unit associated with the motion rendering device; and provide a first calibration for the first camera based on the ratio.

Abstract: The disclosure provides a method for measuring X-ray energy of an accelerator in an inspection system. the method comprises: building a database comprising correspondence between half-value layer (HVL) and energy under a predetermined condition; measuring HVL for X-rays of the accelerator in the inspection system on line under the same predetermined condition; and comparing the measured HVL with the HVLs in the database comprising correspondence between HVL and energy to determine the X-ray energy of the accelerator. The method is applicable to a large-scale container/vehicle inspection system for measurement of X-ray energy/HVL of the accelerator so as to acquire source state of the inspection system in real time.

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: Various technologies described herein pertain to creation of an output hyper-lapse video from an input video. Values indicative of overlaps between pairs of frames in the input video are computed. A value indicative of an overlap between a pair of frames can be computed based on a sparse set of points from each of the frames in the pair. Moreover, a subset of the frames from the input video are selected based on the values of the overlaps between the pairs of the frames in the input video and a target frame speed-up rate. Further, the output hyper-lapse video is generated based on the subset of the frames. The output hyper-lapse video can be generated without a remainder of the frames of the input video other than the subset of the frames.

Abstract: Implementations generally relate to generating image compositions. In some implementations, a method includes receiving a plurality of photos from a user and determining one or more composition types from the photos. The method further includes generating one or more compositions from the received photos based on the one or more determined composition types, where each composition is based on modified foregrounds of the photos. The method further includes providing the one or more generated compositions to the user.

Abstract: An electronic device and method for capturing an image are disclosed. The electronic device includes an image sensor configured to capture images, a location sensor configured to detect a location of the electronic device, and a processor. The processor may execute the method, which includes capturing a first image, and detecting a first location where the first image is captured, detecting, by a processor, a second location at which a second image is to be captured and generating guidance information for travel to the second location, and when a present location is within a predefined range of the second location, automatically capturing the second image.