Class / Patent application number | Description | Number of patent applications / Date published |
382171000 | For segmenting an image | 60 |
20090003698 | SEGMENTATON OF DIGITAL IMAGES - Methods and systems for segmenting a digital image are disclosed. In one embodiment, the image can be segmented based on adding parameters to the feature data of a pixel that representative of the location of the pixel. In another embodiment, the image can be divided into regions that are individually segmented and then combined together. In a further embodiment, the image can be processed to yield a rank-opened image and a rank-closed image and a new image is formed that combines the feature data of the two images together. The new image can then be segmented. | 01-01-2009 |
20090041351 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A data distribution system in which distribution data is generated by a distribution data generation portion, a second range is specified by a specifying portion, the second range is mapped to a first range by a mapping portion, and third image data is generated by performing binarization based on a threshold value regulated in the first range by various components. In this way, binarization can be suitably performed even when pixel value distribution data differs for each subject. | 02-12-2009 |
20090129670 | Identifying Steganographic Data in an Image - Disclosed are embodiments of systems and methods for embedding and/or extracting data from images. In embodiments, an image may be segmented into regions, and characters or other image groups within a segmented region may be determined to be embedding sites. A data vector may be embedded into a set of corresponding ordered embedding sites by representing each data element as different intensity values assigned to the pixels within one portion of an embedding site relative to the pixels in another portion of the embedding site. In embodiments, embedded data may be extracted from an image by extracting and decoding a set of bit values from a set of identified and ordered embedding sites. | 05-21-2009 |
20090161952 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - The image processing apparatus is provided with a scanner unit that reads a document and generates image data; an edge vicinity pixel detection unit that detects pixels in the vicinity of the edge of the document based on luminance values of the image data generated by the scanner unit; a histogram creation unit that creates a histogram using the luminance values of pixels in a region of the document within a predetermined distance from the pixels in the vicinity of the edge; and a judgment unit that judges whether or not it is possible to separate a document region from a document-external region based on the created histogram. | 06-25-2009 |
20090238457 | METHODS AND SYSTEMS FOR AUTOMATED SEGMENTATION OF DENSE CELL POPULATIONS - Systems and methods for segmenting images comprising cells, wherein the images comprise a plurality of pixels; one or more three dimensional (3D) clusters of cells are identified in the images; and the 3D clusters of cells are automatically segmented into individual cells using one or more models. | 09-24-2009 |
20090245635 | SYSTEM AND METHOD FOR SPAM DETECTION IN IMAGE DATA - A method of detecting and processing messages that include SPAM images by comparing a concentration of grayscale frequencies in a subject image to known concentration of grayscale frequencies in other SPAM messages. The image may be further evaluated for classification as SPAM by evaluating a measure of randomness of pixels having non-white markings to determine if random markings were added to the image. | 10-01-2009 |
20090290793 | SIGNAL SEARCH IN THREE DIMENSIONAL BITMAPS - A method for automated searching of signal characteristics represented in a bitmap of an RF test and measurement device is provided. The bitmap is populated via sampling of a time-varying signal, where a first signal characteristic is reflected by an X-axis of the bitmap, a second signal characteristic is reflected by a Y-axis of the bitmap, and a third signal characteristic is reflected by a Z-axis of the bitmap. The method includes: selecting a region of the bitmap. The method further includes generating, for the region, a histogram of Z-values of the bitmap versus Y-values of the bitmap, searching the histogram for any portion in the histogram that meets a predetermined search criteria, and identifying a location of the bitmap corresponding to each portion of the histogram that meets the predetermined search criteria. | 11-26-2009 |
20100027887 | Image processing system and image processing method - A histogram preparer reads image data scanned from an original sheet by the line, preparing a histogram of pixel numbers of respective background densities of a read line, a background density estimator estimates a background density of the read line as a density at a local maximal value in view of a highlight end of the histogram, a background removal reference value setter sets up a background removal reference value as a reference margin based on a pixel number normalized on the estimated background density, a background removal threshold determiner increments the estimated background density by the background removal reference value to set a provisional background removal threshold of the read line, and determines a background removal threshold of the read line as a weighting combination of the provisional background removal threshold and a background removal threshold of a previous line, and a background remover removes a background of the read line based on the determined background removal threshold. | 02-04-2010 |
20100080460 | METHOD FOR AUTOMATIC DETECTION OF DATA IN IN-VIVO IMAGES - A method for detecting, in single time-point, in-vivo imaging data related to artifacts in the imaging of objects, includes acquiring at least one in-vivo image with imaging apparatus. A background image corresponds to imaged air of the in-vivo image. The background image is obtained in two steps. A first step includes establishing an object-air boundary and a second step is an atlas-based refinement of a background volume of interest. A histogram reflects an intensity distribution of the background image. The background image is formed of a set of voxels where artifacts are detected. Intensities above a definable intensity value provide an initial estimate of a range of artifacts intensities. A modified morphological opening operation is executed, formed of an erosion of a set of voxels and a dilation, performed iteratively and constrained to voxels intensity above the intensity value, so that the opening operation provides natural definition of artifacts regions. | 04-01-2010 |
20100086207 | CONTENT AWARE IMAGE RESIZING FOR TEXT AND CONTONE IMAGES - A method, computer readable medium, and computing device for resizing images. A digital image arranged in a rectangular array of pixels is received for resizing in either a horizontal direction or a vertical direction. An energy value is computed for each of the pixels, and pixels are connected to form extended 8-connectivity seams, with each seam having a cumulative energy value. The digital image is segmented into segments corresponding to lines of text and/or images. A seam is selected to best maintain proportionality of white space in the segments when the seam is either replicated or deleted. The selected seam then replicated or deleted. At least the seam selection and replication or deletion is repeated until the resized image is the desired size. The resized image is then outputted to a display screen, storage device, and/or printer. | 04-08-2010 |
20100128982 | METHOD FOR DETERMINING ELASTIC-WAVE ATTENUATION OF ROCK FORMATIONS USING COMPUTER TOMOGRAPIC IMAGES THEREOF - A method for estimating at least one elastic-wave-related property of a porous material from a sample thereof includes making a three dimensional tomographic image of the sample of the material. The image is segmented into pixels each representing pore space or rock grain. Bulk modulus and shear modulus of the porous material are determined from the segmented image at a frequency corresponding to mobile fluid. Bulk modulus and shear modulus of the porous material are determined from the segmented image at a frequency corresponding to immobile fluid. The at least one elastic-wave-related property is determined from the mobile fluid and immobile fluid moduli. The method includes at least one of storing and displaying the at least one elastic-wave-related property so determined. | 05-27-2010 |
20100158372 | APPARATUS AND METHOD FOR SEPARATING FOREGROUND AND BACKGROUND - Disclosed herein is an apparatus and method for separating a foreground and a background. The apparatus includes a background model creation unit for creating a code book including a plurality of code words in order to separate the foreground and the background, and a foreground/background separation unit for separating the foreground and the background using the created code book. The method includes the steps of creating a code book including a plurality of code words in order to separate the foreground and the background, rearranging the cord words of the created code book on the basis of the number of sample data that belong to each of the code words, and separating the foreground and the background using the code book. | 06-24-2010 |
20100290702 | Image processing device and image correction device - An image processing device includes a dividing unit which divides a brightness histogram of an input image into a plurality of value regions according to gradation, a ratio computing unit which computes the number of pixels of each value region divided by the dividing unit and the number of pixels of the input image, respectively, and computes a ratio or a magnitude relation of the number of pixels of each value region with respect to the number of pixels of the input image, and a control-point computing unit which computes a control point, which specifies a shape of a correction curve for image correction according to a feature of the input image, based on the ratio or the magnitude relation of each value region computed by the ratio computing unit. | 11-18-2010 |
20100310169 | EMBEDDED GRAPHICS CODING FOR IMAGES WITH SPARSE HISTOGRAMS - Processes for compressing images with sparse histograms are disclosed. The image is divided into blocks, and a bit budget is assigned for each block. The pixels of a block are converted and coded bit-plane by bit-plane, starting from the Most Significant Bit (MSB) and going towards the Least Significant Bit (LSB). The pixels of the block are partitioned into groups. Each group contains pixels that have same value. Moving from the MSB to the LSB, the groups in each bit-plane are processed. When processing a group, the encoder sends a “0” if all group members have same bit value at the current bit-plane being processed, followed by the bit value; otherwise, the encoder sends a “1”, followed by refinement bits for each pixel of the group, and the encoder splits the group. | 12-09-2010 |
20100329557 | Automatic exposure estimation for HDR images based on image statistics - A method of segmenting regions of an image wherein a number of partitions are determined based on a range of an image histogram in a logarithmic luminance domain. Regions are defined by the partitions. A mean value of each region is calculated by K-means clustering wherein the clustering is initialized, data is assigned and centroids are updated. Anchor points are determined based on the centroids and a weight of each pixel is computed based on the anchor points. | 12-30-2010 |
20100329558 | DIGITAL IMAGE EXPOSURE CORRECTION - Techniques are disclosed for correcting the exposure of a digital image. An exposure predictor may be generated based on a set of images for which ground truth data are known. After identifying an optimal set of features, the exposure of the digital image may be corrected by extracting values of the selected optimal features from the image, using the predictor to predict a desired exposure correction for the image, and correcting the exposure of the image by the predicted desired amount. Exposure correction is based on a model that relates intensity of light in the world to the RGB digits of the digital image. The model comprises a gamma function that models the response of a typical monitor and a S-shaped curve that compresses the large dynamic range of the world to the small dynamic range of the RGB digit space. | 12-30-2010 |
20110013836 | MULTIPLE-OBJECT TRACKING AND TEAM IDENTIFICATION FOR GAME STRATEGY ANALYSIS - A method for automatically tracking multiple objects from a sequence of video images that may extract raw data about participating elements in a sporting, or other event, in a way that does not interfere with the actual participating elements in the event. The raw data may include the position and velocity of the players, the referees, and the puck, as well as the team affiliation of the players. These data may be collected in real time and may include accounting for players moving fast and unpredictably, colliding with and occluding each other, and getting in and out of the playing field. The video sequence, captured by a suitable sensor, may be processed by a suitably programmed general purpose computing device. | 01-20-2011 |
20110194768 | SYSTEMS AND METHODS TO DETECT MODELS AND ACCOUNTS WITH ANOMALOUS REVENUE FROM COLOR IMPRESSIONS - Methods and systems for identifying device models or accounts exhibiting outlying behavior are disclosed. For a method of identifying a device model exhibiting outlying behavior, a processor may receive a color impression count, a monochrome impression count and either a device model for each of a plurality of devices. A proportion of color revenue may be determined for each device based on the color impression count and the monochrome impression count. The processor may determine, for each device model, a distribution of the proportion of color revenue for the one or more devices having the device model and may automatically identify one or more distributions of the proportion of color revenue exhibiting outlying behavior. Each distribution is associated with a device model. | 08-11-2011 |
20110194769 | IMAGE PROCESSING METHOD AND APPARATUS - An image processing method includes segmenting a series of obtained images, calculating a central point of each segment, and obtaining a target object based on movement variance of the central points of segments in the series of images. | 08-11-2011 |
20110229032 | Detecting And Labeling Places Using Runtime Change-Point Detection - A system and method are disclosed for detecting and labeling places recognized in a video stream using change-points detection. The system includes a segmentation module and a label learning module. The segmentation module is configured to receive a video stream comprising multiple digital representations of images. The video stream is represented by a measurement stream comprising one or more image histograms of the video stream. The segmentation module segments the measurement stream into multiple segments corresponding to place recognized in the videos stream. The segmentation module detects change-points of the measurement stream and computes probability distributions of the segments over multiple pre-learned place models. The label generation module is configured to generate place labels for the places recognized by the place models. | 09-22-2011 |
20110229033 | Image Processing Method, and Program - An image processing apparatus according to the present invention includes a run-length encoding unit for performing run-length encoding processing on input data and outputting a data value of each element constituting the data and a frequency of the element having the data value, a pixel frequency information extraction unit for extracting pixel frequency information representing frequencies of the background pixel and the outline pixel constituting the target region from among output values of the processing target region processed by the run-length encoding unit, and a pixel frequency information dividing unit for dividing the pixel frequency information extracted by the pixel extraction unit into frequency information about the background pixel and frequency information about the outline pixel, wherein the run-length encoding processing is further performed on the frequency information about the outline pixel. Therefore, high-speed lossless compression can be performed on a binary outline image with high accuracy. | 09-22-2011 |
20120027296 | APPARATUS AND METHOD FOR EXTRACTING TARGET, AND RECORDING MEDIA STORING PROGRAM PERFORMING THE METHOD - Provided are an apparatus and a method for extracting a target related to an algorithm separating the target and a background by using statistical characteristics of the target and the background among target extracting methods required in a weight value center tracking method, and recording media storing a program performing the method. According to the present invention, it is possible to effectively separate the target region and the background region from each other and it is possible to improve reliability in target extracting performance. | 02-02-2012 |
20120045127 | PORTABLE BACKSCATTER ADVANCED IMAGING TECHNOLOGY SCANNER WITH AUTOMATED TARGET RECOGNITION - A portable backscatter advanced imaging technology scanner with automated threat or target recognition including: a floor assembly having a cantilever drive assembly for rotating the floor assembly, the floor assembly being able to be partitioned into multiple parts for reassembly; at least one x-ray tube oriented towards selected sides of a test subject; a detector assembly oriented on the circumference of the floor assembly, the detector assembly being able to partitioned into multiple parts for reassembly; a storage unit to store images from detected scattered photons on the detector assembly; and a processing unit to detect, identify and classify concealed objects on the test subject. | 02-23-2012 |
20120093408 | ORDINAL AND SPATIAL LOCAL FEATURE VECTOR BASED IMAGE REPRESENTATION - A local image patch identified in an image is divided into respective sub-patches of respective image forming elements. For each of the respective image forming elements in the local image patch, a respective ordinal rank of the image forming element is determined, and respective contributions of the image forming element to a particular one of the respective sub-patches containing the image forming element and to one or more other ones of the respective sub-patches neighboring the particular sub-patch are ascertained. Each ordinal rank corresponds to a respective dimension of an ordinal rank feature space. For each of the respective sub-patches of the local image patch, a respective histogram of ascertained contributions of the image forming elements in the ordinal rank feature space is built. A respective feature vector representing the local image patch is generated from the respective histograms built for the sub-patches of the local image. | 04-19-2012 |
20120121180 | METHOD AND SYSTEM FOR DOT-MATRIX FONT DATA COMPRESSION AND DECOMPRESSION - A method and system are provided for compressing and/or decompressing a set of dot-matrix font characters. According to a compression method, each dot-matrix font character is divided into a horizontal image including horizontal (stroke) image pattern(s), a vertical image including vertical (stroke) image pattern(s), and a residual image including residual image pattern(s) obtained by removing the horizontal and vertical images from the original character. Then, the Huffman coding is applied to each of a set of the horizontal image patterns, a set of the vertical image patterns, and a set of the residual image patterns, respectively, to produce compressed horizontal codes for the horizontal image patterns in a horizontal Huffman table, compressed vertical codes for the vertical image patterns in a vertical Huffman table, and compressed residual codes for the residual image patterns in a residual Huffman table. The compressed horizontal, vertical, and residual codes are selectively combined into a bit string that represents a compressed form of each character. | 05-17-2012 |
20120141029 | APPARATUS AND METHOD CREATING GHOST-FREE HIGH DYNAMIC RANGE IMAGE USING FILTERING - An apparatus and method creating a ghost-free High Dynamic Range Image (HDRI) based on filtering are provided. It is possible to effectively prevent a ghost phenomenon from occurring when a single HDRI is created from a plurality of LDRIs, by defining a ghost area using a probability based on a global transfer function indicating a relationship for intensities of several frames, rather than searching for or identifying a ghost area in a single or each image. | 06-07-2012 |
20120148156 | ENHANCED CONTRAST FOR SCATTER COMPENSATION IN X-RAY IMAGING - A method for rendering a radiographic image of a subject. Image data is obtained from an image detector and a look-up table is generated for image data processing, wherein the look-up table is generated at least according to information about an image type, an image detector type, and a kVp setting used to expose the radiographic image and according to information about grid use. Image data values of the obtained image data are adjusted according to the generated look-up table to generate adjusted radiographic image data. Log conversion and image processing are applied to the adjusted radiographic image data to form enhanced radiographic image data. The enhanced radiographic image data are rendered on a display. | 06-14-2012 |
20120155764 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND PROGRAM - An image processing device includes an obtaining unit obtaining image data of images; a dividing unit dividing the obtained image into N blocks; a designation unit sequentially designating the M blocks among the N blocks as the blocks to be updated; a histogram generation unit generating histograms of the obtained image data; a histogram storage unit sequentially updating and storing the generated histogram; a change determination unit determining a change in the obtained image, on the basis of the degree of similarity between the histogram of the generated M blocks and the histogram of the M blocks in the past corresponding to the generated M blocks which are stored; a normalization determination unit determining whether or not to perform normalization of the histogram; and a normalization unit normalizing any one of the histogram of the generated M blocks and the histogram of the corresponding M blocks in the past. | 06-21-2012 |
20120195504 | COMPUTING DEVICE AND METHOD FOR ISOLATING AND CUTTING OUT FIGURES IN DESIGN PATENT DOCUMENT - A method for isolating and cutting out figures in a design patent document divides each page of a figure section of the design patent document into a multiplicity of areas according to histograms, which are created based on information of black pixels and white pixels in a black-and-white image of the page. The method selects the areas that include the figures of the design patent, and displays the selected areas on a display device. | 08-02-2012 |
20120250998 | IMAGE PROCESSING APPARATUS AND METHOD, AND PROGRAM - An image processing apparatus, which calculates weight values based on difference values between the pixel values of pixel positions in an image data and the pixel values of pixels of a peripheral region, calculates expectation values of the pixel values of the peripheral region on the basis of weight values calculated for the pixels in the peripheral region, and makes the expectation values the calculation results of the pixel position, includes: a plurality of normalized weighting functions for calculating the weight values; a unit that calculates the total sum of weight of all of pixels in the peripheral region, for the plurality of normalized weighting functions; a unit that selects the normalized weighting functions on the basis of the total sum of the weight values; and a unit that calculates expectation values of the pixel values in the peripheral region based on the selected normalized weighting function. | 10-04-2012 |
20120257829 | Representing Signals for Classification - The subject matter described in this specification can be embodied in a method that includes partitioning a received signal into a sequence of two or more segments. For a given segment in the sequence, the method includes calculating a set of frequency domain coefficients corresponding to the given segment, and identifying local peaks in the set of frequency domain coefficients by applying a threshold. The method also includes providing a multi-dimensional histogram from a plurality of peaks identified from multiple segments, wherein the multi-dimensional histogram jointly represents frequencies and coefficient values corresponding to each of the plurality of identified peaks. | 10-11-2012 |
20120269432 | IMAGE RETRIEVAL USING SPATIAL BAG-OF-FEATURES - Local features of retrieved images are identified and for each image, an ordered bag-of-features is created that describes the features of the image. Spatial relationships between features of an image are captured in histogram descriptors created from linear or circular projections. Using the histogram descriptors, ordered bags-of-features describing the features of the images are developed. Calibrating the ordered bags-of-features to account for spatial variance leads to spatial bags-of-features. | 10-25-2012 |
20130170749 | METHOD AND APPARATUS FOR DOCUMENT IMAGE INDEXING AND RETRIEVAL USING MULTI-LEVEL DOCUMENT IMAGE STRUCTURE AND LOCAL FEATURES - An image based document index and retrieval method is described. During document indexing, each source document is analyzed to generate index information at document, page, region and unit levels. Region and unit level index information is generated by segmenting each text region into units, constructing unit length or unit density histograms, and analyzing the units in a few most frequent bins of the histogram. The index information and the source document images are stored in a database. During document retrieval, a target document is analyzed to generate target index information in the same way as during document indexing. The target index information is compared to stored index information in a progressive manner (from higher to lower levels) to identify source documents with index information that matches the target index information. Fuzzy logic is used in the comparison steps to increase the robustness of the document retrieval. | 07-04-2013 |
20130195359 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND INTEGRATED CIRCUIT - Segments included in an image I are each classified as one of object (i.e., person) segments OS | 08-01-2013 |
20130223740 | Salient Object Segmentation - Techniques for identifying a salient object with respect to its context are described. A process receives an input image that includes a salient object. The process segments the input image into multiple regions and calculates a saliency value for each of the segmented regions based on scale image levels. The process constructs saliency maps based at least in part on the calculated saliency value, and combines the saliency maps to construct a total saliency map. Next, the process connects a set of line segments computed from the input image and utilizes the total saliency map to compute a closed boundary, which forms a shape prior from the closed boundary, and extracts the salient object from the total saliency map and the shape prior. | 08-29-2013 |
20130236098 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - An image processing device has an image input part to which a frame image of an imaging area taken with an infrared camera is input, a background model storage part in which a background model is stored with respect to each pixel of the frame image input to the image input part, a frequency of a pixel value of the pixel being modeled in the background model, a background difference image generator that determines whether each pixel of the frame image input to the image input part is a foreground pixel or a background pixel using the background model of the pixel, which is stored in the background model storage part, and generates a background difference image, and a threshold setting part. | 09-12-2013 |
20130236099 | APPARATUS AND METHOD FOR EXTRACTING FOREGROUND LAYER IN IMAGE SEQUENCE - Disclosed are an apparatus and a method for extracting a foreground layer from an image sequence that extract a foreground object layer area in which a depth value is discontinuous with that of a background from an input image sequence. By using the present disclosure, the layer area is automatically tracked in the subsequent frames through user's setting in the start frame in the image sequence in which the depth values of the foreground and the background are discontinuous, thereby extracting the foreground layer area in which the drift phenomenon and the flickering phenomenon are reduced. | 09-12-2013 |
20130243322 | IMAGE PROCESSING METHOD - An image processing method of separating an input image into a foreground image and a background image, the method including determining a pixel of the input image as a pixel of the foreground image if a foreground probability value of the pixel of the foreground image determined by using the Gaussian mixture model or the pixel determined to be included in a motion region is greater than a setting threshold. | 09-19-2013 |
20130259373 | IMAGE PROCESSING DEVICE CAPABLE OF DETERMINING TYPES OF IMAGES ACCURATELY - An image processing device performs: acquiring image data representing an image, the image data including a plurality of sets of pixel data each having a multiple-level gradation value, each gradation value falling within a predetermined range between and inclusive of a minimum gradation value and a maximum gradation value, a predetermined number of levels of gradation value falling within the predetermined range; setting a partial range of levels of gradation value, a first number of levels of gradation value in the partial range being smaller than the predetermined number; and determining that the image is a photograph image when the image meets a first criterion that a degree of change in distribution of gradation values is smaller than a reference value, the distribution of gradation value indicating a pixel number of sets of pixel data for each level of the gradation value falling within the partial range. | 10-03-2013 |
20130266222 | IMAGE SYNTHESIS APPARATUS, IMAGE SYNTHESIS METHOD AND IMAGE SYNTHESIS PROGRAM - An image synthesis apparatus acquires one or plural images including one or plural pictures of one person or plural people as an object, determines an aspect of the one or plural pictures, extracts a part of the one or plural pictures in accordance with the aspect of the one or plural pictures and synthesizes the extracted one or plural images. | 10-10-2013 |
20130272607 | System and Method for Processing Image for Identifying Alphanumeric Characters Present in a Series - A system and a method for identification of alphanumeric characters present in a series in an image are disclosed. The system and method captures the image and further processes it for binarization by computing a pattern of the image. The generated binarized images are then filtered for removing unwanted components. Candidate images are identified out of the filtered binarized images. All the obtained candidate images are combined to generate a final candidate image which is further segmented in order to recognize a valid alphanumeric character present in the series. | 10-17-2013 |
20130322754 | APPARATUS AND METHOD FOR EXTRACTING TARGET, AND RECORDING MEDIUM STORING PROGRAM FOR PERFORMING THE METHOD - A target extracting apparatus and method for extracting a target through probability modeling of pixel brightness values in an image, and a recording medium storing a program for performing the method, are disclosed. The method includes extracting a background image from an input image, modeling brightness values of the input image and the background image based on a Gaussian distribution to generate an input image modeling result and a background image modeling result, calculating likelihood ratios for determining whether a pixel in the input image corresponds to a target based on a correlation between the input image modeling result and the background image modeling result and target templates having different sizes; determining a location of the target based on the calculated likelihood ratios; and outputting the determined location of the target. | 12-05-2013 |
20140023270 | Parameter Selection and Coarse Localization of Interest Regions for MSER Processing - An attribute is computed based on pixel intensities in an image of the real world, and thereafter used to identify at least one input for processing the image to identify at least a first maximally stable extremal region (MSER) therein. The at least one input is one of (A) a parameter used in MSER processing or (B) a portion of the image to be subject to MSER processing. The attribute may be a variance of pixel intensities, or computed from a histogram of pixel intensities. The attribute may be used with a look-up table, to identify parameter(s) used in MSER processing. The attribute may be a stroke width of a second MSER of a subsampled version of the image. The attribute may be used in checking whether a portion of the image satisfies a predetermined test, and if so including the portion in a region to be subject to MSER processing. | 01-23-2014 |
20140023271 | Identifying A Maximally Stable Extremal Region (MSER) In An Image By Skipping Comparison Of Pixels In The Region - A difference in intensities of a pair of pixels in an image is repeatedly compared to a threshold, with the pair of pixels being separated by at least one pixel (“skipped pixel”). When the threshold is found to be exceeded, a selected position of a selected pixel in the pair, and at least one additional position adjacent to the selected position are added to a set of positions. The comparing and adding are performed multiple times to generate multiple such sets, each set identifying a region in the image, e.g. an MSER. Sets of positions, identifying regions whose attributes satisfy a test, are merged to obtain a merged set. Intensities of pixels identified in the merged set are used to generate binary values for the region, followed by classification of the region as text/non-text. Regions classified as text are supplied to an optical character recognition (OCR) system. | 01-23-2014 |
20140072219 | DOCUMENT IMAGE BINARIZATION AND SEGMENTATION USING IMAGE PHASE CONGRUENCY - A method is described for binarizing a gray scale document image, in particular, a document image containing both text and non-text contents. Phase congruency maps are calculated from the gray scale image, and used to segment the text and non-text areas of the gray scale image. The phase congruency maps are also used to extract long lines such as table lines, which can be optionally removed from the image. The text and non-text areas of the gray scale image are divided into image patches; for the text areas, connected components obtained from the phase congruency map are used to generate image patches, so that each image patch contains a text character. The image patches are binarized individually using individual threshold values, and then combined to generate a binary image of the gray scale image. The method can also be used for purposes of OCR or document authentication. | 03-13-2014 |
20140126818 | METHOD OF OCCLUSION-BASED BACKGROUND MOTION ESTIMATION - A technique for estimating background motion in monocular video sequences is described herein. The technique is based on occlusion information contained in video sequences. Two algorithms are described for estimating background motion: one fits well for general cases, and the other fits well for a case when available memory is very limited. The significance of the technique includes: a motion segmentation algorithm with adaptive and temporally stable estimate of the number of objects is developed, two algorithms are developed to infer occlusion relations among segmented objects using the detected occlusions and background motion estimation from the inferred occlusion relations. | 05-08-2014 |
20140133752 | DISPLAY APPARATUS AND METHOD FOR IMAGE OUTPUT THEREOF - A display apparatus and an image output method thereof are provided. The image output method includes dividing a received image into a plurality of sub-images, correcting quality of each of the sub-images based on a contrast ratio calculated for the received image, and outputting the image by combining the corrected sub-images. Hence, the display apparatus can enhance luminance and chrominance which vary per sub-image segment in the received image. | 05-15-2014 |
20140161351 | METHOD AND APPARATUS FOR AUTOMATICALLY SUMMARIZING VIDEO - One embodiment of the present invention provides a system that automatically produces a summary of a video. During operation, the system partitions the video into scenes and then determines similarities between the scenes. Next, the system selects representative scenes from the video based on the determined similarities, and combines the selected scenes to produce the summary for the video. | 06-12-2014 |
20140270525 | FORMING REGIONS CHARACTERIZED BY LABELED MEASUREMENTS - Briefly, embodiments of methods and/or apparatuses for processing, at a variety of scale levels, labeled measurements in sub-regions to form a region characterized by a set of labeled measurements is described. | 09-18-2014 |
20140341470 | METHOD FOR MINIMIZING SCINTILLATION IN DYNAMIC IMAGES - A method for reducing scintillation in an image of a scene includes receiving an input sequence of images of the scene and grouping a first plurality of images of the sequence of images into a first subset of images comprising a first number of images that occur in sequence within the input sequence of images of the scene. The method also includes grouping a second plurality of images of the sequence of images into a second subset of images comprising a second number of images that occur in sequence within the input sequence of images of the scene. The method further includes generating a set of averaged images comprising an averaged image for the first subset of images and an averaged image for the second subset of image and outputting a composite image based at least the set of averaged images. | 11-20-2014 |
20150049944 | MEMORY-EFFICIENT SPATIAL HISTOGRAM CONSTRUCTION - Techniques are described for memory-efficient spatial histogram construction. A hierarchical spatial index has leaf nodes and non-leaf nodes, each leaf node representing a bounding region containing a spatial object, each non-leaf node representing a bounding region at least partially containing one or more spatial objects. A plurality of selected nodes is selected from the plurality of non-leaf nodes. The plurality of selected nodes includes an ancestor of each leaf node. For each particular node in the plurality of selected nodes, a weight is determined. The weight is based on the number of spatial objects contained within the bounding region of the particular node. A spatial partitioning of the plurality of selected nodes is determined. A spatial histogram is generated based on the spatial partitioning of the weights of the plurality of selected nodes. | 02-19-2015 |
20150104101 | METHOD AND UI FOR Z DEPTH IMAGE SEGMENTATION - An application that receives and edits image data from a light field camera. The application determines a distance from the light field camera for each portion of the image. The application of some embodiments uses the depth information to break the image data down into layers based on the depths of the objects in the image. In some embodiments, the layers are determined based on a histogram that plots the fraction of an image at a particular depth against the depths of the image. | 04-16-2015 |
20150324998 | IMAGE-BASED FEATURE DETECTION USING EDGE VECTORS - Techniques are provided in which a plurality of edges are detected within a digital image. An anchor point located along an edge of the plurality of edges is selected. An analysis grid associated with the anchor point is generated, the analysis grid including a plurality of cells. An anchor point normal vector comprising a normal vector of the edge at the anchor point is calculated. Edge pixel normal vectors comprising normal vectors of the edge at locations along the edge within the cells of the analysis grid are calculated. A histogram of similarity is generated for each of one or more cells of the analysis grid, each histogram of similarity being based on a similarity measure between each of the edge pixel normal vectors within a cell and the anchor point normal vector, and a descriptor is generated for the analysis grid based on the histograms of similarity. | 11-12-2015 |
20150332435 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - An image processing apparatus includes a pre-processing unit and a coding unit. The pre-processing unit acquires, from an image, a patch obtained by extracting a partial area of the image. The coding unit determines a value of a design parameter relating to processing of the patch according to the amount of information contained in the acquired patch and representing a state of distribution of pixel values and generates a high-frequency patch from the patch by using the determined value of the design parameter. | 11-19-2015 |
20150371374 | Methods for Differential Image Quality Enhancement for a Multiple Detector System, Systems and Use Thereof - Methods for differential image quality enhancement for a detection system including multiple electromagnetic radiation detectors which include obtaining an image from a chemical band electromagnetic radiation detector and an image from a reference band electromagnetic radiation detector. Each of the images includes a plurality of pixels, each pixel having an associated intensity value. One or more intensity values of a plurality of pixels from the reference band image are adjusted based on one or more intensity value parameters of the chemical band image. | 12-24-2015 |
20150371386 | Methods and Systems for Detecting a Chemical Species - Methods and systems for detecting at least one chemical species including obtaining a first image from a first electromagnetic radiation detector and obtaining a second image from a second electromagnetic radiation detector. The first image includes a first plurality of pixels and the second image includes a second plurality of pixels, each pixel having an associated intensity value. A first resultant image is generated. The first resultant image includes a plurality of resultant pixels, each pixel having an associated intensity value. One or more regions of interest are determined. The correlation between the first image, the second image, and the first resultant image is determined for the one or more regions of interest using a correlation coefficient algorithm to calculate a first correlation coefficient and a second correlation coefficient. The presence of the chemical species is determined based, at least in part, on the first correlation coefficient and the second correlation coefficient. | 12-24-2015 |
20160078634 | METHODS AND SYSTEMS FOR IMAGE MATTING AND FOREGROUND ESTIMATION BASED ON HIERARCHICAL GRAPHS - In accordance with an embodiment, a method for image matting based on a hierarchical graph model, comprises receiving an input image including a plurality of image elements; generating a plurality of matting cells based on the input image, each cell including a group of image elements; calculating affinity values for the plurality of matting cells based on the input image; forming a graph based on the plurality of matting cells and the affinity values, the graph including a plurality of nodes representing the matting cells and a plurality of edges associated with the affinity values of the matting cells; and generating a plurality of matting components for the input image based on the graph. | 03-17-2016 |
20160086310 | IDENTIFYING REGIONS CHARACTERIZED BY LABELED MEASUREMENTS - Briefly, the disclosure describes embodiments of methods or apparatuses for processing, such as smoothing, a set of labeled measurements at a variety of scale levels. In one or more non-limiting embodiments purely for illustrative purposes, relatively fine details of labeled measurements may be displayed utilizing a relatively low-scale map, such as a map showing individual towns and/or villages. For display utilizing a relatively higher scale map, such as a map showing larger geopolitical areas, for example, relatively fine details may be omitted. | 03-24-2016 |
20160104036 | METHOD AND APPARATUS FOR DETECTING BLINK - A method and an apparatus for detecting blink are provided. After obtaining an eye image sequence of a user, a currently analyzed image and a previously captured image are obtained from the eye image sequence and reflective regions of the currently analyzed image and the previously captured image are filtered, wherein the brightness values of pixels included in the reflective regions are higher than a brightness threshold. Difference pixel amount between the currently analyzed image and the previously captured image is calculated so as to determine whether the user blinks according to the difference pixel amount. | 04-14-2016 |
20160163058 | GEODESIC SALIENCY USING BACKGROUND PRIORS - Disclosed herein are techniques and systems for computing geodesic saliency of images using background priors. An input image may be segmented into a plurality of patches, and a graph associated with the image may be generated, the graph comprising nodes and edges. The nodes of the graph include nodes that correspond to the plurality of patches of the image plus an additional virtual background node that is added to the graph. The graph further includes edges that connect the nodes to each other, including internal edges between adjacent patches and boundary edges between those patches at the boundary of the image and the virtual background node. Using this graph, a saliency value, called the “geodesic” saliency, for each patch of the image is determined as a length of a shortest path from a respective patch to the virtual background node. | 06-09-2016 |