Abstract: A reconstruction system is presented for reconstructing morphology of biological cells. The system includes data input and output utilities, memory, and a data processor, and is configured for data communication with an image data provider to receive raw image data comprising a sequence of image frames acquired from the cell during a movement of the cell and being indicative of optical path delay (OPD) of light propagation through the biological cell. The data processor is configured and operable to process the raw image data and determine 3D dynamic morphological data of the cell. The data processor includes: a modeling utility; a position recovery module; and an analyzer module.

Abstract: This application discloses a foreground data generation method performed at a computer device. The method includes: obtaining a target image, the target image containing a target object and a background; removing the background from the target image to obtain initial foreground data of the target object in the target image; expanding the initial foreground data and eroding the expanded foreground data; blurring the eroded foreground data to obtain certain foreground data and uncertain data from the initial foreground data; and segmenting the certain foreground data from the uncertain data, to obtain target foreground data of the target object in the target image.

Abstract: A method is provided and includes acquiring a digital slide comprising objects of at least two sizes, the objects including a first object of a first size and a second object of a second size different from the first size, for each of the first object and the second object, acquiring images of a corresponding object in at least two scales based on the digital slide, where the acquired images of the corresponding object in the at least two scales include an image of a larger scale and an image of a smaller scale, the image of the larger scale having a smaller image size and a higher image resolution than the image of the smaller scale, and determining, from the images of the corresponding object in the at least two scales, an image having an image size that corresponds to a size of the corresponding object.

Abstract: An alertness estimation apparatus 10, includes: an image extraction unit 11 that extracts an image of a portion including eyes from an image data of a face image of a human; a first alertness estimation unit 12 that estimates a first alertness based on the extracted image; a pulse wave detection unit 13 that determines whether or not the estimated first alertness satisfies a set condition, and detect a pulse wave of the human from the face image, when the first alertness satisfies the set condition; and a second alertness estimation unit 14 that estimates a second alertness of the human based on the detected pulse wave.

Abstract: A controller-tracking system includes: camera(s) arranged on head-mounted display (HMD); one or more light sources arranged on controller(s) to be tracked, and controller(s) being associated with the HMD. The light sources provide light having wavelength(s). The processor(s) are configured to receive image(s) representing controller(s); identify image segment(s) in image(s) that represents light source(s); determine level of focussing of light source(s) in image(s), based on characteristics associated with pixels of image segment(s); determine distance between camera(s) and light source(s), based on level of focussing, intrinsic parameters of camera(s), and reference focussing distance corresponding to wavelength of light provided by light source(s); and determine pose of controller(s) in global coordinate space of real-world environment, using distance between camera(s) and light source(s).

Abstract: An image processing apparatus that generates an image for character recognition from a read image includes at least one memory that stores instructions, and at least one processor that executes the instructions to perform extracting of an area of handwritten character information and an area of printed character information from the read image, clipping of a partial image of the area of handwritten character information and a partial image of the area of printed character information out of the read image, and generating of the image for character recognition by combining the partial image of the area of handwritten character information and the partial image of the area of printed character information being associated with each other.

Abstract: An image processing method includes searching for a next pixel of a skeleton branch of a target image based on an already-searched current pixel of the skeleton branch, and determining whether the skeleton branch is a burr branch based on a number of already-searched pixels of the skeleton branch.

Abstract: Apparatus, systems, and methods to process an interior region of interest in an anatomy image via a user interface are disclosed. An example apparatus is to at least: process an image to reduce noise in the image; identify at least one of an organ of interest or a region of interest in the image; analyze values in at least one of the organ of interest or the region of interest; process the at least one of the organ of interest or the region of interest based on the analyzed values to provide a processed object in the at least one of the organ of interest or the region of interest; and display the processed object for interaction via an interface, the display to include exposing at least one of the organ of interest or the region of interest.

Abstract: An inspection device includes a processor configured to display at least one of plural pieces of read image data on a display unit in a state where a defective portion is recognizable, and set reception of a correction instruction of the defective portion to be enabled, the plural pieces of read image data being obtained by reading image-formed matters obtained by forming original image data on plural recording media, and correct read image data that does not satisfy a predetermined criterion, and then register the corrected read image data as reference image data used for inspecting the image-formed matter.

Abstract: A logic circuit that can output a stream of sequential values, representing pixel position values, for a pixelated display device such as a spatial light modulator. The logic circuit may comprise an advanced integrated circuit such as a field-programmable gate array (FPGA) or an application-specific integrated circuit (ASIC). The stream of sequential values that is output by the logic circuit can be used by another logic circuit to calculate corresponding values of a software function, for populating those pixels of the pixelated display device. The software function can be, for example, a lens function or a grating function, which might be combined with a hologram, such as a computer-generated hologram (CGH), for display on the pixelated display device.

Abstract: A laser patterning alignment method provides a way to position a target at a working distance in a laser patterning system such that fiducial marks on the target are positioned in view of at least three laser patterning system cameras, and with each laser patterning system camera, to locate a fiducial mark on the target and sending location data of the located fiducial mark to a controller, to determine corrections required to align expected fiducial mark locations with the sent fiducial mark location data, and to adjust the laser patterning system with the determined corrections.

Abstract: An electronic apparatus and an object information recognition method by using touch data thereof are provided. A current touch sensing frame is obtained through a touch panel. The current touch sensing frame includes a plurality of frame cells respectively corresponding to a plurality of touch sensing units, and each of the frame cells has touch raw data. The frame cells include a target frame cell. A new cell value corresponding to the target frame cell is generated according to touch raw data of a plurality of adjacent frame cells adjacent to the target frame cell in the current touch sensing frame, so as to generate a transformation frame according to the new cell value. The transformation frame is transformed into a touch sensing image, and the touch sensing image is analyzed to recognize object information of a touch object.

Abstract: An ultrasound diagnostic apparatus, which transmits an ultrasonic wave toward a subject by an ultrasound probe, produces ultrasound image data based on obtained reception data by a diagnostic apparatus body, and displays an ultrasound image, includes a dilation processor which performs dilation processing on the ultrasound image data based on a dilation radius to produce dilated image data, an erosion processor which performs erosion processing on the ultrasound image data based on an erosion radius different in magnitude from the dilation radius to produce eroded image data, a difference processor which calculates difference between the dilated image data and the eroded image data to produce difference image data, and an edge enhancer which performs edge enhancement processing on the ultrasound image data based on the difference image data to produce edge enhanced image data.

Abstract: A method for object defect detection includes receiving digital data representing an image of an object with a repeated pattern. The method identifies a part of the image of the object as defined by a sample window of the digital data. The method generates one or more functions from at least the part of the image, wherein each of the one or more functions corresponds to one component of a pixel contained in the part of the image. Responsive to performing self-similarity analytics on the one or more functions, the method identifies a defect area of the object.

Abstract: An image processing method to obtain a high sense of depth or high stereoscopic effect for an image and a display device utilizing the method are provided. Image data of an image is separated into image data of a plurality of objects and a background. A feature amount is obtained from the image data of each object, so that the objects are identified. The relative distance between viewer's eye and any of the objects is determined by the data of the sizes of the objects in the image and the sizes of the objects stored in the database. The image data of each object is processed so that an object with a shorter relative distance is enlarged. The image data of each object after image processing is combined with the image data of the background, so that a sense of depth or stereoscopic effect of an image is increased.

Abstract: An image processing system and method for determining an intrinsic color component of one or more objects for use in rendering the object(s) is described herein. One or more input images are received, each representing a view of the object(s), wherein values of each of the input image(s) are separable into intrinsic color estimates and corresponding shading estimates. A depth image represents depths of the object(s). Coarse intrinsic color estimates are determined using the input image(s). The intrinsic color component is determined by applying bilateral filtering to the coarse intrinsic color estimates using bilateral filtering guidance terms based on depth values derived from the depth image.

Abstract: A system and method having a number of technological elements, one of which being a controller, which causes improvements to the controller and creates significantly more than the original default controller functionality. The elements collaborating to cause the controller to operate a camera to record images of a visual content; store the recorded images to a memory, the recorded images being in a digital form as digital images; perform a visual recognition module to identify at least one targeted object within at least one digital image; produce the identification results of the visual recognition module; compare the identification results to the vehicle-reservation information; generate reservation information derived from the comparison outcome of the identification results to the vehicle-reservation information; and operate the display to exhibit the reservation information.

Abstract: A combination of image data and depth data is supplied defining luminance and/or color for image positions in an image and distance to objects visible at said image positions respectively. The image data and the depth data are compressed by a compressor (120) and decompressed by a decompressor (16). The depth data is dilated before said compressing, to move an edge between a region of image positions with a relatively smaller distance and a region of image positions with a relatively greater distance towards the region of image positions with a relatively greater distance.

Abstract: The present disclosure provides systems and methods for generating a multi-dimensional surface model of a geometric structure. The system includes a device including at least one sensor configured to collect a set of location data points corresponding to respective locations on or enclosed by a surface of the geometric structure, and a computer-based model construction system coupled to the device. The computer-based model construction system is configured to generate a working volume based on the set of location data points, calculate a dilated field for the working volume, define a dilated surface based on the dilated field, calculate an eroded field for the working volume based on the dilated surface, and define an eroded surface based on the eroded field.

Abstract: To extend the working range of depth from defocus (DFD) particularly on small depth of field (DoF) images, DFD is performed on an image pair at multiple spatial resolutions and the depth estimates are then combined. Specific implementations construct a Gaussian pyramid for each image of an image pair, perform DFD on the corresponding pair of images at each level of the two image pyramids, convert DFD depth scores to physical depth values using calibration curves generated for each level, and combine the depth values from all levels in a coarse-to-fine manner to obtain a final depth map that covers the entire depth range of the scene.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to operations to facilitate real-time matting using local color estimation and propagation. In accordance with embodiments described herein, an unknown region is estimated based on a set of received boundary points (a zero-level contour that separates the foreground object from the background) and additional contours based on increasing distances from the zero-level contour. The background and foreground colors for each pixel in the unknown region can be estimated and utilized to propagate the foreground and background colors to the appropriate contours in the unknown region. The estimated background and foreground colors may also be utilized to determine the opacity and true background and foreground colors for each pixel in the unknown region which results in an image matted in real-time.

Abstract: The present disclosure relates to method and apparatus for image recovery and image correction. In an embodiment, the present disclosure relates to recovering images that are occluded due to some material in the optical path while capturing the images. The detection of noisy region is performed by taking the residual image between the images yielded by large sized and small sized Gaussian window smoothening filters on red, green and blue channels. The recovery of the image that alleviates the noise is obtained by point-wise multiplication of the above said residue image with a suitably synthesized Gaussian distributed co-efficient of same size.

Abstract: The present invention relates to an image processing apparatus, method, and program that can extract an object from an input image more easily and more accurately. A face detecting unit (31) detects a face from an input image, a mask area setting unit (33) sets a mask area which masks a person in the input image based on a position of the face detected by the face detecting unit (31), a background model updating unit (51) updates a background image by learning areas other than the mask area in the input image as the background image, and a separating unit (54) separates the input image into the background image and a foreground image which is an area of the person in the input image based on the background image updated by the background model updating unit (51) and the input image. The present invention can be applied to, for example, an image processing apparatus that extracts a person from an input image.

Abstract: A method for filtering image data having at least three types of distinct regions from a selected type of region, each of the at least three types of distinct regions being characterized by a plurality of unitary image elements, the method comprising providing the image data; selecting a portion of the image data comprising at least a corresponding portion of each of the at least three types of regions; determining at least one distribution for each of the at least three types of regions in the selected portion; determining at least one function for associating each unitary image element of the selected type of region in the selected portion to another type of region of the at least three types of regions such that the at least one distribution of the selected type of regions in the selected portion is transposed into a corresponding distribution of the another type of region; and applying the at least one function to each unitary image element of the selected type of region of the selected portion to thereby

Abstract: Various embodiments enable a device to perform tasks such as processing an image to recognize and locate text in the image, and providing the recognized text an application executing on the device for performing a function (e.g., calling a number, opening an internet browser, etc.) associated with the recognized text. In at least one embodiment, processing the image includes substantially simultaneously or concurrently processing the image with at least two recognition engines, such as at least two optical character recognition (OCR) engines, running in a multithreaded mode. In at least one embodiment, the recognition engines can be tuned so that their respective processing speeds are roughly the same. Utilizing multiple recognition engines enables processing latency to be close to that of using only one recognition engine.

Abstract: A method of determining relief markings on a tire's sidewall surface includes assigning, to each pixel of a three-dimensional image of the surface, a grey-level value proportional to an elevation point corresponding to the pixel, to obtain a starting image. Using linear structuring elements of successively increasing sizes and oriented circumferentially, a series of successive morphological openings is performed iteratively on the starting surface. An image value obtained after a morphological opening using a structuring element is subtracted from an image value obtained after a morphological opening using a structuring element of an immediately lower size, to obtain a succession of images flattened by differencing. A thresholding operation is performed on the images flattened by differencing, to obtain binary images. A set-theoretic union of values of each of the binary images is performed, to obtain a final binary image in which markings appear in relief.

Abstract: A method for creating a binary mask image from an inputted digital image of a scanned document, including the steps of creating a binarized image by binarizing the inputted digital image, detecting first text regions representing light text on a dark background, and inverting the first text regions, such that the inverted first text regions are interpretable in the same way as dark text on a light background. A method for comparing in a binary image a first pixel blob with a second pixel blob to determine whether they represent matching symbols, including the steps of detecting a line in one blob not present in the other and/or determining if one of the blobs represents an italicized symbol where the other does not.

Abstract: An image processing apparatus includes a reference surface generating unit that generates a reference surface indicating a reference value of each of a plurality of color elements of pixels constituting an intraluminal image at a pixel position of the each color element by performing a morphology process using pixel values of the color elements; and an abnormal area detecting unit that detects an abnormal area from the intraluminal image based on a difference for each of the color elements between the pixel value of each pixel and the reference surface.

Abstract: Systems, methods, and software for operating an image processing system are provided herein. In a first example, a method of operating an image processing system is provided. The method includes identifying object pixels associated with an object of interest in a scene, identifying additional pixels to associate with the object of interest, and performing an operation based on a depth of the object in the scene on target pixels comprised of the object pixels and the additional pixels to change a quality of the object of interest.

Abstract: The present invention relates to a method for merging regions in the image/video, capable of merging plural of image regions into an image merging region. In the disclosed method, these image regions are first sequenced basing on their compactness value. Then, one of these image regions is designated as a reference image region, and a merging test process is executed by merging the reference image region with one of the nearby image regions thereof in sequence, for forming a temporal image merging region. Later, the compactness value of the temporal image merging region is compared with the compactness value of the two consisting image regions thereof, respectively. When the compactness value of the temporal image merging region is larger than either one of the compactness value of the two consisting image regions thereof, the temporal image merging region is designated as an image merging region.

Abstract: Systems, methods, and software for operating an image processing system are provided herein. In a first example, a method of operating an image processing system is provided. The method includes identifying object pixels associated with an object of interest in a scene, identifying additional pixels to associate with the object of interest, and performing an operation based on a depth of the object in the scene on target pixels comprised of the object pixels and the additional pixels to change a quality of the object of interest.

Abstract: A system and method for distributing at least one digital photographic image is presented, the system and method comprising at least one capturing device and at least one receiving device disposed in a communicative relation with one another via at least one wireless network. In particular, the capturing device is structured to capture the at least one digital photographic image via, for example, a capture assembly, whereas the receiving device is cooperatively structured to receive the digital photographic image via, for example, the at least one wireless network. In addition, the capturing device(s) and receiving device(s) may be disposed in a selectively paired relationship via one or more common pre-defined pairing criteria. Further, the at least one digital photographic image may be filtered via at least one pre-defined transfer criteria disposed on the capturing device and/or receiving device.

Abstract: The present invention relates to a method and a corresponding apparatus for detecting coding artifacts in an image. The proposed apparatus comprises an edge position detector that detects an edge position of an edge in said image, a border position detector that detects a border position of a border between a texture area and a flat area in said image, and an artifact position defining unit that defines the area between said edge position and said border position as artifact area potentially comprising coding artifacts.

Abstract: An improved histopathological score is obtained by generating image objects from images of tissue containing stained epithelial cells. First objects are generated that correspond to basal cells stained with a first stain, such as p63. Second objects are generated that correspond to luminal cells stained with a second stain, such as CK18. If the same tissue is not stained with both stains, then the images of differently stained tissue are co-registered. Third objects are defined to include only those second objects that have more than a minimum separation from any first object. A scoring region includes the third objects, and the histopathological score is determined based on tissue that falls within the scoring region. For example, a Gleason score of prostate tissue is determined by classifying tissue patterns in the scoring region. Alternatively, a Gleason pattern is assigned by counting the number of third objects that possess a predetermined form.

Abstract: According to some aspects, a computer-implemented method of registering a first image and a second image is provided. The method comprises computer-implemented acts of logically dividing the first image into a first plurality of regions, logically dividing the second image into a second plurality of regions, projecting the first plurality of regions and the second plurality of regions into a lower dimensional space using random projections, determining, for each of the projected first plurality of regions, at least one of the projected second plurality of regions that is closest according to first criteria, and determining a transform that brings each of the projected first plurality of regions into a closest correspondence with the respective at least one of the projected second plurality of regions according to second criteria, the transform indicating the registration of the first image and the second image.

Abstract: Systems, methods, and software for operating an image processing system are provided herein. In a first example, a method of operating an image processing system is provided. The method includes identifying object pixels associated with an object of interest in a scene, identifying additional pixels to associate with the object of interest, and performing an operation based on a depth of the object in the scene on target pixels comprised of the object pixels and the additional pixels to change a quality of the object of interest.

Abstract: An image processing apparatus includes: a candidate point extraction unit which extracts, from an image, candidate points which are candidates for points constituting a circular region that represents a bubble; and a circular-region detecting unit which detects a circular region in the image on the basis of information belonging to the candidate points.

Abstract: A method of retrieving information comprised in a barcode is disclosed. The method comprises detecting that the barcode is present in a first image having a first image quality and capturing a first region, acquiring, when it is detected that the barcode is present, a second image having a second image quality and capturing a second region, wherein the second image quality is higher than the first image quality, and wherein the second region at least partly overlaps the first region, and decoding the barcode based on the second image to retrieve the information. A corresponding program product and a corresponding arrangement are also disclosed along with a communication device comprising the arrangement.

Abstract: Target detecting method and apparatus are disclosed. In the target detecting method, edges in a first direction in an input image may be detected to obtain an edge image comprising a plurality of edges in the first direction; and one or more candidate targets may be generated according to the plurality of edges in the first direction, a region between any two of the plurality of edges in the first direction in the input image corresponding to one of the candidate targets.

Abstract: A computer-aided method, system and computer program product are provided for optical testing of a rope. Such method includes: providing an image data set for at least one portion of the rope; providing target values of a pictorial longitudinal extension of the representation of wires relative to a pictorial longitudinal extension of the rope in the image data set; determining a pictorial longitudinal extension of the wires in the image data set, including adapting an estimated longitudinal extension to the image data set; determining at least one quality value using a quality norm as a function of the determined pictorial longitudinal extension of the wires and the target values of the pictorial longitudinal extension of the wires; discriminating pictorial positions within the image data set of the rope, where at least one quality value exceeds or falls below a predetermined, assigned quality threshold value; and providing the discriminated pictorial positions.

Abstract: A first aspect of the invention relates to a method for creating a binary mask image from an a inputted digital image of a scanned document, comprising the steps of creating a binarized image by binarizing the inputted digital image, detecting first text regions representing light text on a dark background, and inverting the first text regions, such that the inverted first text regions are interpretable in the same way as dark text on a light background. A second aspect of the invention relates to a method for comparing in a binary image a first pixel blob with a second pixel blob to determine whether they represent matching symbols, comprising the steps of detecting a line in one blob not present in the other and/or determining if one of the blobs represents an italicized symbol where the other does not.

Abstract: The system and method of use are provided for correcting digital images based on the notions of local black points. The system and method are based on determining local black points in a digital image and correcting the intensities of nearby pixels so as to remove bias in the image introduced by atmospheric conditions. By sampling only localized land imagery the claimed method computes black points that are more robust against the localized effects of atmospheric and land reflection effects than black points computed from wider areas. The result of the method is that images corrected by this method are robust to atmospheric conditions that vary with time and viewing angle.

Abstract: Provided is an image processing apparatus and method for filling a hole area in an image. The image processing apparatus may include a candidate pixel setting unit to set a plurality of candidate pixels corresponding to at least one hole pixel in a hole area using neighboring pixels around the hole area, and a pixel value determining unit to determine a pixel value of the hole pixel using the plurality of candidate pixels.

Abstract: A system and method for distributing at least one digital photographic image is presented, the system and method comprising at least one capturing device and at least one receiving device disposed in a communicative relation with one another via at least one wireless network. In particular, the capturing device is structured to capture the at least one digital photographic image via, for example, a capture assembly, whereas the receiving device is cooperatively structured to receive the digital photographic image via, for example, the at least one wireless network. In addition, the capturing device(s) and receiving device(s) may be disposed in a selectively paired relationship via one or more common pre-defined pairing criteria. Further, the at least one digital photographic image may be filtered via at least one pre-defined transfer criteria disposed on the capturing device and/or receiving device.

Abstract: An output apparatus determines pixels that form an area equal to or greater than a predetermined size and whose pixel values are not different from pixel values of neighboring pixels, and pixels that form an area not equal to or greater than the predetermined size. The apparatus reduces the pixel values of the determined pixels and outputs a binary image formed by the determined pixels with the reduced pixel values.

Abstract: The present invention relates to an image processing method and image inspecting method with high versatility which enable efficient and highly accurate proof of authenticity of a digital image. The image processing method subjects at least a part of a digital image which can exist temporarily or continuously in a falsification-vulnerable environment, to a first morphology operation using a predetermined structuring element, to process the digital image. The image inspecting method subjects the digital image thus processed, to a second morphology operation using the same structuring element as in the first morphology operation. The morphology operations have the idempotent and the presence or absence of falsification can be detected by determining identity of images before and after the second morphology operation.

Abstract: A method for detecting edges within an image. An edge strength indicator for each pixel within the image is determined and the edge strength indicator is classified into at least three classes to generate a map having one value associated to each class. The classified map is then separated into individual maps depending on the classification. A dilation process is applied to at least a part of the individual maps. The processed and/or individual maps are finally combined by logical operation to obtain a final map indicating edges without nearby texture.

Abstract: A pattern recognition process, a non-transitory computer program product, and a mobile terminal for pattern recognition. An input pattern is normalized and a reliable pattern is generated from the normalized pattern by using at least one morphological operator. The distance between the reliable pattern and selected templates which are selected from a template library using a decision tree, is calculated. The reliable patterns are classified into at least one of the classes of the selected templates by at least one non-parametric classification method.

Abstract: A method of geodesic image and video processing is proposed. In an embodiment, the method uses a geodesic distance transform to construct an image filter. The filter can be used in a variety of image editing operations such as segmentation, denoising, texture smoothing, image stitching and cartooning. In one embodiment, the method may be made efficient by utilizing parallelism of the algorithm to carry out processing steps on at least two processing cores concurrently. This efficiency may enable high-resolution images and video to be processed at ‘real time’ rates without the need for specialist hardware.

Abstract: A system and method for distributing at least one digital photographic image is presented, the system and method comprising at least one capturing device and at least one receiving device disposed in a communicative relation with one another via at least one wireless network. In particular, the capturing device is structured to capture the at least one digital photographic image via, for example, a capture assembly, whereas the receiving device is cooperatively structured to receive the digital photographic image via, for example, the at least one wireless network. In addition, the capturing device(s) and receiving device(s) may be disposed in a selectively paired relationship via one or more common pre-defined pairing criteria. Further, the at least one digital photographic image may be filtered via at least one pre-defined transfer criteria disposed on the capturing device and/or receiving device.