Abstract: Systems and methods for character recognition by performing lateral view-based analysis on the character data and generating a feature vector based on the lateral view-based analysis.

Abstract: An image processing apparatus converts an input data indicative of a fish-eye image into an output data indicative of a plane image. The apparatus includes an input data conversion unit that converts the fish-eye image into the input data including an input data pixel information and an input data color information; a fish-eye image corrected address generating unit that generates, based on the input data pixel information, an output data pixel information; an input data color information acquiring unit that acquires the input data color information based on a pattern of a color filter array; an output data color information calculating unit that calculates, based on the input data color information, an output data color information; an output data generating unit that generates the output data including the output data pixel information and the output data color information; and a storage unit that stores the input and output data.

Abstract: An exemplary method includes an image data optimization control subsystem subjecting data representative of an image to an image data optimization cycle and repeating the subjecting of data representative of the image to the image data optimization cycle in response to a determination that output data representative of the image produced in conjunction with the previous subjection is optimized by at least the predetermined optimization threshold, wherein the repeat subjection of data representative of the image includes submitting the output data from the previous subjection as new input to the image data optimization cycle. Corresponding systems and methods are also disclosed.

Abstract: A method and system for processing digital image data taken from a three-dimensional topographic area including terrain and a right of way including a first and a second object to establish a clearance surface to define clearance violations within a boundary area. Waypoints are located to define a centerline and the boundary area to be analyzed. Vegetation coordinate points in the scene are determined from the digital image data. Ground coordinate points are determined from the digital image data. A clearance surface segment is constructed within the boundary area between the first and second object. The clearance surface is determined from the location of the first and second object and clearance criteria. The clearance surface is used to define a violation region.

Abstract: A device for color shading correction is provided. Local color matching is performed as follows. For each pixel of the image that is being color matched, the RGB value is treated as a one-by-three matrix, which is multiplied by a three-by-three matrix that is generated during factory calibration. The matrix product is a one-by-three matrix that is used as the RGB value for the pixel in the color matched image.

Abstract: The invention features a system wherein a recognition environment utilizes comparative advantages of automated feature signature analysis and human perception to form a synergistic data and information processing system for scene structure modeling and testing, object extraction, object linking, and event/activity detection using multi-source sensor data and imagery in both static and time-varying formats. The scene structure and modeling and testing utilizes quantifiable and implementable human language key words. The invention implements real-time terrain categorization and situational awareness plus a dynamic ground control point selection and evaluation system in a Virtual Transverse Mercator (VTM) geogridded Equi-Distance system (ES) environment. The system can be applied to video imagery to define and detect objects/features, events and activity.

Abstract: Provided are an object detection device and system. The object detection device includes an outline image extraction unit, a feature vector calculation unit, and an object judgment unit. The outline image extraction unit extracts an outline image from an input image. The feature vector calculation unit calculates a feature vector from the outline image by using histogram of oriented gradients (HOG) representing a frequency distribution of gradient vectors with respect to pixels of the outline image, and pixel coordinate information varying according to a spatial distribution of the gradient vectors. The object judgment unit judges a target object corresponding to the feature vector with reference to pre-learned data.

Abstract: Certain embodiments provide systems and methods for adaptive compression, transmission, and display of clinical images. Certain embodiments provide a method for adaptive compression of image data for transmission and display at a client workstation. The method includes identifying one or more images for display, the one or more images including a plurality of image slices. The method also includes determining a compression scheme for the one or more images based on at least one of bandwidth, processing power, and diagnostic modality. The method further includes transferring the one or more images for display at the client workstation. The method additionally includes adapting the compression scheme based on resource availability.

Abstract: A system, method, and computer program product are provided for determining whether text within an image includes unwanted data, utilizing a matrix. In operation, a matrix corresponding to an image is generated. Additionally, text within the image is identified utilizing the matrix. Furthermore, it is determined whether the text includes unwanted data.

Abstract: The operability of a user when reusing a vectorized illustration is improved. An image processing apparatus of the present invention comprises an illustration region specifying component configured to specify an illustration region within an input image, a color region extracting component configured to extract a color region from the specified illustration region, a contour line extracting component configured to extract a contour line from the extracted color region, a vector data generating component configured to generate vector data from image data of the illustration region, a kind discriminating component configured to discriminate a kind of the generated vector data, and a circumscribed rectangle coordinate deriving component configured to derive circumscribed rectangle coordinates in accordance with the kind discriminated by the kind discriminating component.

Abstract: Provided is an image processing apparatus, method and computer-readable medium. The image processing apparatus, method and computer-readable medium may extract a target object area from an input color image, based on an input depth image and the input color image. For the above image processing, the image processing may extract a silhouette area of a target object from the input depth image and refine the silhouette area of the target object based on the input color image.

Abstract: A field picture coding/decoding apparatus and method is provided. The field picture coding method includes selecting a reference field with respect to an input image, generating a predictive image by deinterlacing with respect to the selected reference field, and performing predictive coding with respect to the input image using the predictive image.

Abstract: Using methods, computer-readable storage media, and apparatuses for computer-implemented processing, an image of handwritten text may be segmented into a disjoint component image corresponding to individual glyphs connected by ligatures. The disjoint component image is skeletonized into a grid graph, and a connected path traversing the ligatures is determined. The disjoint component image is segmented into non-overlapping segments based on connected graphs corresponding to edges in the disjoint component image, where sets of adjacent non-overlapping segments correspond to the individual glyphs. Glyph geometry may be varied by obtaining an ensemble of glyph representations, each characterized by measurable geometric glyph properties. For each geometric glyph property, target values are obtained from ensemble-wide statistical distribution functions, and the target values are used to transform a base glyph representation into a target glyph representation.

Abstract: Implementations of the present invention involve methods and systems for converting a 2-D image to a stereoscopic 3-D image by segmenting one or more portions of the 2-D image based on one or more pixel color ranges. Further, a matte may be created that takes the shape of the segmented region such that several stereoscopic effects may be applied to the segmented region. In addition, ink lines that are contained within the segmented region may be removed to further define the corresponding matte. Implementations of the present disclosure also include a interface that provides the above functionality to a user for ease of segmentation and region selection. By utilizing the segmentation process, a 2-D image may be converted to a corresponding stereoscopic 3-D image with a perceived depth. Further, this process may be applied to each image of an animated feature film to convert the film from 2-D to 3-D.

Abstract: Embodiments of an apparatus, system and method are described for an adaptive light method for low power architecture. A histogram with a plurality of bins may be determined based on luminance for an image. A tone differential may be decreased based on a sum of pixel counts from adjacent bins. The image may be displayed based at least in part on a tone differential of a bin. Other embodiments are described and claimed.

Abstract: Methods and systems disclosed herein provide the capability to automatically process digital pathology images quickly and accurately. According to one embodiment, an digital pathology image segmentation task may be divided into at least two parts. An image segmentation task may be carried out utilizing both bottom-up analysis to capture local definition of features and top-down analysis to use global information to eliminate false positives. In some embodiments, an image segmentation task is carried out using a “pseudo-bootstrapping” iterative technique to produce superior segmentation results. In some embodiments, the superior segmentation results produced by the pseudo-bootstrapping method are used as input in a second segmentation task that uses a combination of bottom-up and top-down analysis.

Abstract: A visualization program, method and apparatus for determining reading order of content in a structured document. The method includes generating, for each of a plurality of elements, a directed segment; storing, in the reading order, the generated directed segments of the elements into a storage device; reading from the storage device; linking together the directed segments for the elements in accordance with the reading order; and displaying the linked directed segments overlaid on the structured document which is displayed on the screen. A computer implemented program and an apparatus for carrying out the above method are also provided.

Abstract: Embodiments are described for a system and method for generating a multi-resolution image pyramid. The method can include obtaining an image captured as a coarse image of a defined subject and a fine image of the defined subject. The fine image can be downsampled to create a temporary image. A further operation is applying a structure transfer operation to the temporary image to transfer color detail from the coarse image. The structure transfer takes place while retaining structural detail from the temporary image. A blending operation can be applied between the temporary image and the fine image to construct an intermediate image for at least one intermediate level in the multi-resolution image pyramid between the fine image and the coarse image.

Abstract: An image of a paginated document is zoned to identify text zones. First-pass character recognition is performed on the text zones to generate textual content corresponding to the paginated document. The image of the paginated document is re-zoned based on the textual content to identify one or more new text zones. Second-pass character recognition is performed on at least the new text zones to generate updated textual content corresponding to the paginated document.

Abstract: In order to implement color-reduction processing more suitable, an image processing apparatus includes a reduced-scale image generation unit configured to generate a reduced-scale image of first image data; a color space division unit configured to determine a plurality of bins by dividing predetermined color space; a first frequency distribution generation unit configured to generate a first frequency distribution for all pixels; a detection unit configured to detect an edge region from the first image data; a second frequency distribution generation unit configured to generate a second frequency distribution for pixels included in the edge region; a determination unit configured to select N bins, and to determine N types of pixel values respectively corresponding to the selected N bins; and a substitution unit configured to substitute each of pixels included in the first image data using the determined N types of pixel values.