Abstract: A document image processing system includes an extraction portion, an estimation portion, a calculation portion, a substitution portion, and a generation portion. The extraction portion extracts first and second document elements of an inputted document image and a preprint data. The estimation portion estimates first and second representative colors due to first and second document elements in a color space, respectively. The calculation portion calculates first and second planes to separate the color space into first and second sub-spaces which each includes each of the first and second representative colors, respectively. The substitution portion substitutes a color of a first pixel of the first document elements with the first representative color and a color of a second pixel of the second document elements with the second representative color. The generation portion subtracts each of the substituted first pixel from each of the substituted second pixel to generate a difference image.

Abstract: Some embodiments provide a for analyzing a document that includes a number of primitive elements. The method identifies boundaries between sets of primitive elements and identifies regions bounded by the boundaries. The method uses the identified regions to define structural elements for the document. The method defines a structured document based on the primitive elements and the structural elements.

Abstract: Disclosed is a method for identifying lawn grass which includes capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further includes weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.

Abstract: A method and apparatus for processing images, the method comprising: using a radar (4), generating a first image of an area of terrain (8); using a sensor (5), generating a second image of the area of terrain (8); performing an image segmentation process on the first image to identify a point in the first image as corresponding to a ground surface of the area of terrain (8); and projecting the identified point in the first image from the first image into the second image to identify a point in the second image as corresponding to the ground surface of the area of terrain (8). The method may further comprise: for the identified point in the second image, defining a sub-image of the second image containing that point; and performing a feature extraction process on the sub-image to identify points in the sub-image that correspond to the ground surface.

Abstract: According to one embodiment, an image processing apparatus includes first and second computation portions, a selection portion, a projection portion, and a weighted averaging portion. The first computation portion is configured to obtain magnitudes of correlations between a first vector and plural basis vectors. The selection portion is configured to select basis vectors from the plural basis vectors. The projection portion is configured to select a second region, obtain a first projection vector by projecting the first vector onto a subspace formed by the selected basis vectors and obtain a second projection vector for each second region by projecting a second vector onto the subspace. The second computation portion is configured to compute a distance between the first and second projection vectors. The weighted averaging portion is configured to weighted average a pixel value of the second pixel to obtain an output pixel value of a first pixel.

Abstract: Method for security printing. A digital model of a feature for printing is received, wherein the feature is for authentication by an external device. Deviation from the digital model is compensated for, to a printed instance of the feature.

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: A system and method are provided for segmenting an image. The method includes computing an image signature for an input image. One or more similar images are identified from a first set of images, based on the image signature of the input image and image signatures of images in the first set of images. The similar image or images are used to define a cropped region of the input image and a second image signature is computed, this time for the cropped region. One or more similar images are identified from a second set of images, based on the cropped image signature and the image signatures of images in the second set of images. The input image is segmented based on a segmentation map of at least one of the similar images identified in the second set of images.

Abstract: According to a radiographic apparatus of this invention, an image correcting unit corrects offset for every pixel relative to a detection value outputted from a radiation detector having pixels for detecting radiation arranged in a two-dimensional array. In addition, the image correcting unit corrects the offset while holding noise components contained in the detection value. Thus, upon quantitative evaluation of the noises contained in the detection values outputted from the radiation detector, the noises of not only positive values but also negative values can be considered. Consequently, accurate evaluation may be achieved.

Abstract: A method for automatically steering mosaic cut lines along preferred routes to form an output mosaic image includes creating an assignment map corresponding to the output mosaic image where each pixel has an initial designation of unassigned; marking each pixel of the assignment map that intersects the preferred routes as being a Preferred Cut Line pixel to divide the Assignment Map into one or more regions; searching for each region to locate one or more source images that cover that region; and using a Selection Heuristic or Pairing Heuristic to determine quality of coverage. The Preferred Cut Line pixels are redesignated to match the image assignments of their bounded regions, and the output mosaic image is formed by contributing pixel values from the source images based upon the designations set forth in the assignment map.

Abstract: A method for propagating user-provided foreground-background constraint information for a first video frame to subsequent frames allows extraction of moving foreground objects with minimal user interaction. Video matting is performed wherein constraints derived from user input with respect to a first frame are propagated to subsequent frames using the estimated alpha matte of each frame. The matte of a frame is processed in order to arrive at a rough foreground-background segmentation which is then used for estimating the matte of the next frame. At each frame, the propagated constraints are used by an image matting method for estimating the corresponding matte which is in turn used for propagating the constraints to the next frame, and so on.

Abstract: Before page description data are input to a raster image processor (RIPa) that plots an overprint of a shading object in process colors in the nonzero overprint mode, the page description data are converted into robustized page description data wherein minimum values of process colors are replaced with small values which are not of 0. The robustized page description data are input to the RIPa.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score.

Abstract: An image taking system including: (a) a CMOS or CCD image sensor; (b) an interest-region setter configured to set regions of interest within an image taking area of the image sensor; (c) an acquiring-condition determiner configured to determine an image-data acquiring condition required for acquiring at least two image data generated in at least two of the regions of interest; and (d) an image-data acquirer configured to acquire the at least two image data. The acquiring-condition determiner includes an exposure-time determining portion configured to determine, as the image-data acquiring conditions, at least two different exposure times required for acquiring the at least two image data generated in the at least two regions of interest. The image-data acquirer includes an exposure-time-based-image-data acquiring portion configured to acquire the at least two image data, such that the acquired at least two image data are based on the at least two different exposure times.

Abstract: A spectral anomaly detection method includes the steps of segmenting a panchromatic image, obtained from a hyperspectral sensor into cluster data sets. Principal component analysis can be separately performed on each of the cluster data sets to produce a plot of principal components. An anomaly detection algorithm can be applied to an adaptively selected subset of principal components for each of the cluster data sets to produce cluster detection scores. Finally, separate detection thresholding algorithms can be applied to each of the cluster detection scores, and the results of the detection thresholding algorithms can be combined into a single detection plane.

Abstract: An image processing apparatus capable of performing good luminance correction without performing a cumbersome process is provided. The image processing apparatus includes an illumination light component estimation unit which calculates an estimated illumination light component of an original image, an estimated illumination light component correction unit which outputs a corrected estimated illumination light component obtained by correcting the estimated illumination light component, and a Retinex processing unit which corrects a luminance component of the original image by dividing the luminance component by the corrected estimated illumination light component.

Abstract: The focus position of each projection apparatus is changed depending on the configuration state of a projection system comprising a plurality of projection apparatuses.

Abstract: An expandable multi-module display device cuts block data corresponding to an identification code of the expandable multi-module display device itself, and transmits the data-cut result to a specific flat panel display corresponding to the expandable multi-module display device itself, such that it displays a total image. The expandable multi-module display device includes a multi-panel including a plurality of flat panel displays, several multi-driving boards installed in the flat panel displays, respectively, and a data bus line connected to each of the multi-driving boards. The expandable multi-module display device cuts data corresponding to an identification code of the multi-module display device itself, and provides a specific flat panel display with the cut data corresponding to the multi-driving board itself, and bypasses the remaining data other than the cut data to the multi-driving boards of the remaining flat panel displays other than the specific flat panel display.

Abstract: A system and a method for image segmentation use segmentation maps of one or more similar images as a basis for the segmentation. The method includes generating an image signature for an input image to be segmented and identifying at least one similar image from a set of images, based on the image signature of the input image and image signatures of images in the set of images. The similarity may be computed after first projecting the image signatures into a feature space where similarity is more likely to agree with segmentation map similarity. The input image is segmented, based on the segmentation map of one or more of the at least one identified similar images.

Abstract: A method and an apparatus for character string recognition may be provided that enables prevention of a decrease in recognition accuracy for a character string even when distortion of an image appears in a direction perpendicular to a medium transfer direction.

Abstract: Various embodiments create a source image from a web page and then process the source image effective to remove left and/or right border areas so that a reduced-size web page image created from the source image has a better chance of capturing relevant content for a viewer. In at least some embodiments, image processing techniques are utilized to identify repeating patterns of pixels along left and/or right border areas of a source image. The image processing techniques can process individual rows of pixels looking for patterns of pixel color values. Identified patterns of pixel color values are noted and then subsequently used to remove regions of the source image in which repeating patterns occur. Having removed these regions from a source image, the source image can be reduced in a manner directed to improving information density contained in a reduced-size web page image created from the source image.

Abstract: To handle static text and logos in stabilized images without destabilizing the static text and logos, a method of handling overlay subpictures in stabilized images includes separating an existing overlay subpicture from an input image to generate a separated overlay subpicture and a separated input image. The separated input image is stabilized to form a stabilized image. The separated overlay subpicture is then merged with the stabilized image to obtain an output image.

Abstract: An apparatus, method, and system for modifying application windows based on projection surface characteristics. One embodiment of the apparatus includes a determination module, an identification module, and a modification module. The determination module determines one or more characteristics of a projection surface including detrimental characteristics. The identification module identifies one or more application windows for displayed within the projected image. The one or more application windows correspond to one or more applications executing on a processor. One or more of the identified application windows are for projection on at least one location of one or more detrimental characteristics. The modification module modifies one or more of a size, a shape, and a position of at least a portion of the one or more identified application windows to avoid the at least one location of the one or more detrimental characteristics.

Abstract: A method for recognizing a music score included in an image and various information included in the music score, which may be obtained through a camera provided in a mobile terminal without requiring a separate editing program. The method includes detecting a region with staff lines from the image including the music score; detecting a region with an accompaniment chord from the image by taking the region with the staff lines and a region with a musical note into consideration; extracting and removing the staff lines from the music score included in the image; recognizing the musical note by extracting the musical note from the image, from which the staff lines have been removed; recognizing the accompaniment chord by extracting the accompaniment chord from the image, from which the staff lines have been removed; and generating data for reproducing a sound source corresponding to the musical note and accompaniment chord.

Abstract: The pixels located at equal intervals in a shot image are converted into intensity components and applied with a differential filter. The number of the obtained variations that have values larger than or equal to a certain value among the obtained variations is counted. Then discrimination of a vehicle shot in the target image is executed on the basis of the counted value. The counted value varies depending on a size of a shot object in a shot image. The counted value is large when an occupied area of the object is large, and the counted value is small when the occupied area of the object is small. By so doing, it is advantageously possible to properly discriminate a vehicle.

Abstract: An instruction system including: a capture device; a projection device; a control device including: a judgment portion that judges visibility of an annotation image; a specifying portion that specifies a projection mode of the annotation image from projection modes of the annotation image stored into a storage portion, based on a result of the judgment; a notification portion that notifies the projection mode specified by the specifying portion; and a projection control portion that causes the projection device to project the annotation image corresponding to an instruction on the basis of the projection mode notified from the notification portion; and a terminal including: a reception portion receiving the captured image, and the projection mode notified from the notification portion; and a transmission portion transmitting the instruction on the basis of the received captured image, and the instruction on the basis of the notified projection mode, to the control device.

Abstract: An example-based 2D to 3D image conversion method, a computer readable medium therefore, and a system are provided. The embodiments are based on an image database with depth information or with which depth information can be generated. With respect to a 2D image to be converted into 3D content, a matched background image is found from the database. In addition, graph-based segmentation and comparison techniques are employed to detect the foreground of the 2D image so that the relative depth map can be generated from the foreground and background information. Therefore, the 3D content can be provided with the 2D image plus the depth information. Thus, users can rapidly obtain the 3D content from the 2D image automatically and the rendering of the 3D content can be achieved.

Abstract: A projector projecting an image includes: an imaging unit taking an information transmission image which is part of a projected image of the other projector and includes drive condition information of the other projector; and a control unit changing drive conditions of the projector based on the drive condition information included in the information transmission image.

Abstract: A Solar Access Measurement Device (“SAMD”) located at a predetermined position is disclosed. The SAMD may include a skyline detector enabled to detect a skyline of a horizon relative to the SAMD, an orientation determination unit enabled to determine the orientation of the skyline detector, and a processor in signal communication with the skyline detector and orientation determination unit.

Abstract: A present invention provides a method and a program for extracting the high accuracy silhouette by relatively simple process not using manual labor or special photography environment. A method for extracting the high accuracy silhouette comprises: extracting a number of first silhouettes from a number of object images and a number of background images by a background subtraction; constructing first visual hull from a number of the first silhouettes by a shape from silhouette method; constructing second visual hull by process to repair missed parts and/or to remove unwanted regions in first visual hull; and extracting a number of second silhouettes from the second visual hull.

Abstract: A multi-level data encoding system is provided that is operable on a computer. The encoding system includes a data input device adapted to input a data set and store the data set in a database. The system further includes an encoder adapted to encode the data set and separate the encoded data set into two files, wherein each character of the data set comprises a unique electronic footprint. Additionally, the system includes a data field adapted to organize the encoded data set for proper decoding, a master file comprising one file of the encoded data set and an overlay file comprising the other file of the encoded data set. The system also includes a decoder adapted to align the overlay file onto the master file to decode the encoded data set.

Abstract: An apparatus, system, and method for image processing are disclosed, each of which obtains a mark from image data, detects additional information in the mark, determines whether the mark is detected in the mark to generate a determination result, and controls processing performed by an image processing apparatus with respect to the image data based on the determination result.

Abstract: A test pattern containing plurality of patches recorded using small dot patterns and large dot patterns is printed. The dot sizes arranged in the patches are different between patches. Then the test patterns are read. The detection rate and average density of additional information embedded in each large dot pattern are obtained. A large dot pattern whose detection rate and average density fall within a reference range and are closest to ideal values is determined. The average density of each small dot pattern is obtained. A small dot pattern whose average density falls within a reference range and is closest to the average density of the determined large dot pattern is determined. A copy-forgery-inhibited pattern image is generated using these dot patterns and combined with a print target image.

Abstract: An image processing device is provided which generates an easily reusable electronic document from an input image in which different page sizes are mixed. The image processing device generates a plurality of pieces of display information from a plurality of document images, and, depending on the size and the direction of each of the images, converts the pieces of display information into electronic documents. That is, the plurality of pieces of display information are divided into a plurality of groups, depending on the size and the direction of each of the images, and the display information included in each of the groups is converted into a separate electronic document. Further, sequence information based on the input order of the plurality of document images is stored on an electronic document.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score.

Abstract: An image processing method has the steps of: scanning respective pages in a document; generating respective pieces of image data corresponding to the pages; identifying respective orientations of isolated images contained by each of the pages according to a result of character recognition for the image data; determining whether or not the isolated images contained by the page have different orientations; assigning respective ones of the isolated images to new pages; and setting respective orientations of the isolated images in the new pages as respective upright orientations of the isolated images.

Abstract: A color adjustment interface includes an original image thumbnail representing a version of an image prior to modification, a current image thumbnail representing a version of an image after a modification and a color polygon including a multitude of variation image thumbnails each representing a color variation. Each selection of a variation image thumbnail modifies the current image thumbnail in an adjustment towards a color represented by the selected variation image.

Abstract: A method and system for detecting a shadow region and a highlight region from a foreground region in a surveillance system, and a recording medium thereof, are provided. The system includes an image capturing unit to capture a new image, a background model unit to receive the new image and update a stored background model with the new image, a difference image obtaining unit to compare the new image with the background model and to obtain a difference image between the new image and the background model, a penumbra region extraction unit to extract a partial shadow region or a partial highlight region by measuring a sharpness of an edge of the difference image and expanding a background region, and an umbra region extraction unit to extract a complete shadow region or a complete highlight region based on the result of the extraction by the penumbra region extraction unit.

Abstract: The present invention discloses a system and method for segmenting foreground and background in a video, wherein the system comprises: a video shooting module for shooting the video; a data reading module for reading each frame of the video; a primary segmentation module for establishing a plurality of Gaussian models in a first color space for each pixel of each frame, and performing a matching processing between each pixel of the current frame and the plurality of Gaussian models corresponding to the pixel, and primarily segmenting the pixels as foreground and background according to the result of the matching processing; and a segmentation rejudging module for performing a rejudging processing to the primarily segmented foreground and background in a second color space, so as to obtain the finally determined foreground and background. The present invention improves the effect of foreground segmentation by using the combination of the color spaces and introducing the relationship between pixels.

Abstract: A medical image diagnosing support apparatus comprises: a first extraction means which extracts a body region of a subject from a tomographic image of the subject acquired by a medical tomographic apparatus; a second extraction means which extracts a non-adipose region from the body region; a third extraction means which extracts a total body adipose region from the body region; a separation means which separates the total body adipose region into a visceral adipose region and a subcutaneous adipose region based on positional information of the non-adipose region; and a display control means which controls of displaying the tomographic image on an image display device with clear indication of the visceral adipose region and the subcutaneous adipose region.

Abstract: An apparatus, method and computer program product for performing computer aided diagnosis on temporal subtraction images of objects. A mode of a gray-level histogram is identified, and a gray-level threshold is established at a predefined fraction of this modal value. All pixels with gray levels below this threshold that lie within the lung regions of the temporal subtraction image remain “on,” while all other pixels are set to zero. Area and circularity requirements are imposed to eliminate false-positive regions. Areas of pathologic change identified in this manner may be presented as outlines in the subtraction image or as highlighted regions in the original radiographic image so that, in effect, temporal subtraction becomes a “background” process for computer-aided diagnosis. The present invention is also directed to method, apparatus, and computer program product for performing temporal subtraction on energy subtraction images, with or without subsequent computer aided diagnosis, of objects.

Abstract: One embodiment of the present invention provides a system that enters purchase information into a software application. The system starts by accessing a file containing a receipt for a purchase. The system then extracts information relating to the purchase. Next, the system creates an entry for the purchase in a database for the software application. While creating the entry in the database, the system fills in a set of fields in the entry using the extracted information.

Abstract: A method for dividing a digital image into regions comprises identifying potential region borders based on edge content in the digital image. The digital image is divided into regions based on user-selected ones of the potential region borders. A method of processing a region of a digital image comprises receiving gesture data for characterizing the region. A processing tool associated with the gesture data is automatically launched, and the region is processed using the processing tool.

Abstract: An image processing device, which includes: an original reception unit that receives an original image; a dot image generation unit that generates, on the basis of additive information to be added to the original image, a dot image in which a plurality of dots each formed by one or more pixels are arranged; a state alteration unit that, when any of the dots in the dot image is determined to be not extractable, alters a state of the non-extractable dot on the basis of a relationship between a position on the dot image generated by the dot image generation unit and a corresponding position on the original image; and a composite image generation unit that generates a composite image by superimposing, on the original image, the dot image having the state of the non-extractable dot altered by the state alteration unit.

Abstract: A document processing apparatus includes a marking detection part that detects a marking written on the form from data read by a first reading part, an attribute name extraction part that extracts a character string described beforehand within or near a marking area of the detected marking as an attribute name, an attribute name detection part that detects the attribute name, extracted by the attribute name extraction part, stored in an attribute information memory and specifies the descriptive position of the detected attribute name from the data read by a second reading part that reads the form on which the attribute values are entered, and an attribute value extraction part that extracts the character string around the detection position of the attribute name detected from the read data, and registers the extracted character string as the attribute value of the attribute associated with the attribute name in the attribute information memory.

Abstract: A method for character string recognition may include processing image data into black-and-white binary image data, calculating vertical projection data of the binary image data in a vertical direction perpendicular to a direction of the character string while shifting the binary image data, detecting positions exceeding a prescribed border judgment threshold value in the vertical projection data, judging validity of the border judgment threshold value, and deciding whether to segment characters out of the character string based on whether the border judgment threshold value is valid.

Abstract: Embodiments of an image processing system and methods for aligning features suitable for use in early skin-cancer detection systems are described herein. Corresponding skin features between a reference image and a later-captured image are precisely aligned. Curvatures are used to align body outlines of corresponding images using body-background masks. An initial-displacement flowfield map, generated from the aligned body outlines, may be applied to a filtered version of the later-captured image to generate a pre-warped image. The pre-warped image and a filtered version of the reference image are divided into a plurality of overlapping chips and a correlation is performed between corresponding chips. A transformation map may be generated based on the chip correlations.

Abstract: The present invention uses invisible junctions which are a set of local features unique to every page of the electronic document to match the captured image to a part of an electronic document. The present invention includes: an image capture device, a feature extraction and recognition system and database. When an electronic document is printed, the feature extraction and recognition system captures an image of the document page. The features in the captured image are then extracted, indexed and stored in the database. Given a query image, usually a small patch of some document page captured by a low resolution image capture device, the features in the query image are extracted and compared against those stored in the database to identify the query image. The present invention also includes methods for recognizing and tracking the viewing region and look at point corresponding to the input query image.

Abstract: A system and method for automatically focusing an optical lens controls the light generated by a light-emitting device of an image measuring machine to penetrate a glass sheet, so as to project a picture of the glass sheet onto an object. The system and method further moves an optical lens along a Z-axis of the image measuring machine to capture one or more digital images of the object, and computes a definition value of each captured digital image. Furthermore, the system and method obtains a focus position corresponding to the highest definition value of the captured digital image.

Abstract: A gray value model is generated encoding photometric knowledge at landmark positions. This step exploits intensity correlation in neighborhoods sampled around landmark positions. A geometric model is generated encoding geometric knowledge between landmarks. This step exploits spatial correlation between landmarks of segmented anatomic entities.