Abstract: A method and system for skew detection is provided using connected components analysis. The methodology includes extracting connected components corresponding to the image and analyzing the image based on said connected components for determining skew of the image.

Abstract: A method of de-skewing a digital image is described. An input camera image is initially received, and text within the input camera image is identified. A text direction of the identified text is determined to determine text lines within the camera image. A three-dimensional de-skewing transformation is determined of the text lines to make the text lines horizontal. Then the de-skewing transformation is applied to the input camera image to form a de-skewed output image. An unwarping transformation may also be applied to the input camera image for straightening text lines that are curved.

Abstract: A facsimile machine is provided. The facsimile machine includes a first reading unit which reads an image of an original placed on a platen; a second reading unit which reads an image of an original while feeding the original; a transmitting unit which is configured to execute a first transmission operation to transmit the image of the original read by the first reading unit as facsimile data and a second transmission operation to transmit the image of the original read by the second reading unit as facsimile data; a transmission inhibition unit which inhibits the first transmission operation by the transmitting unit; and a release unit which releases the inhibition of the first transmission operation by the transmission inhibition unit.

Abstract: There is provided an image printer having a display unit, in which a predetermined image can be set as a background picture of the display unit. The image printer includes an image processing unit processing an image selected by a user in accordance with a predetermined image processing technique so as to set the selected image as a background picture of the display unit; and a setting unit setting the processed image as the background picture of the display unit, wherein the display unit displays the processed image.

Abstract: An image processing apparatus for correcting a dislocation of image, pixels being arranged in a first and second directions perpendicular to each other, including: a section which breaks down a correction amount of the image of each pixel in the second direction into a first shift amount with a unit of a prescribed block, a second shift amount with a unit of the pixel, and a third shift amount less than the pixel size; a minimal shift section which shifts the image data by the third shift amount; a pixel unit shift section which shifts the image data by the second shift amount; and a block unit shift section which shifts the image data by the first shift amount, during compression and storage processing of the image data in the block unit, and executing arrangement of the image data after reading-out and expanding the compressed image data.

Abstract: An image processing apparatus includes a reading unit configured to read an open document. The open document includes a first page including a first image and a second page including a second image. The apparatus also includes a storing unit configured to store the first page read by the reading unit as first page image data including the first image, and to store the second page read by the reading unit as second page image data including the second image.

Abstract: The present invention provides an image processing device which is capable of avoiding disappearance of print data such as thin lines by increasing probability in which an original image is stored even after resolution conversion processing is executed to a binary image. In order to achieve this, the present invention may leave the pixels in any of the two lines halftone-processed with same threshold value row after the resolution conversion in a given ratio.

Abstract: An apparatus usable in an image encoding and/or decoding system includes a segmentation unit to convert a first image of a first resolution into a second image of a second resolution, to segment the second image of the second resolution with one or more blocks of a binary mask layer having a foreground and a background, and to convert the segmented second image into a third image of a third resolution as a segmented image.

Abstract: An image processing apparatus is provided that can quickly provide an image in which a main portion has a high image quality.

Abstract: Methods and systems for correcting skew in digital images are disclosed according to embodiments of the invention. Embodiments may include receiving the endpoints of the skew-line, calculating the sine and cosine of the skew-angle from the endpoints and rotating the image using the sine and cosine of the skew-angle. Embodiments of the invention may also include various ways for a user to provide a skew-line and/or endpoints.

Abstract: Cropping images while retaining the relevant portions of the images. The images are cropped based on an orientation of the images. For the images having a portrait orientation, the images are cropped outside a region defined by a parallelogram centered along a golden section line. For the images having a landscape orientation, the images are cropped outside a region defined by a parallelogram centered along a midpoint line. In some embodiments, the images are cropped into squares for display on a mobile computing device having a 16:9 aspect ratio.

Abstract: An electronic device, preferably in the form of a mobile phone, comprising a support structure and a camera carried by the support structure. An orientation detector is connected to the camera. The orientation detector is configured to identify images features in an image captured by the camera, such as the eyes and the mouth of the user, and to determine rotation orientation of the image relative to a reference orientation. A display carried by the support structure is configured to display a data representation, and further to display this data representation in an orientation dependent on the determined rotation orientation. This way a data presentation can e.g. be displayed in a portrait orientation or in a landscape orientation in dependence of which rotational orientation the device is currently held in when the data representation is viewed by a user of the electronic device.

Abstract: A pattern alignment method performs alignment of the comparison source pattern or the comparison target pattern that has been subjected to the angle-scale conversion with the comparison source pattern. Angular deviations and scale factors between the comparison source pattern and the comparison target pattern are computed separately, after angle and scale conversion, the measured template matching is performed. Therefore, parallel-displacement alignment can be made faster and precise alignment is possible. Template matching processing can be minimized, and aligning can be performed precisely and rapidly.

Abstract: An image capture device includes an image detection unit, a display unit, and a control system. The image detection unit captures images of an object of which orientations can be detected. The display displays the captured images. The control system acquires the captured images, extracts features of the object, recognizes the orientations of the object, identifies an angle between the orientations and physical direction of the display unit, implements a corresponding command stored therein associated with the angle, and executes the corresponding command to adjust display direction of the display unit.

Abstract: An image processing device that executes deformation of an image includes a candidate area setting unit, an exclusion determination unit and a deformation processing unit. The candidate area setting unit sets candidate areas, each of which includes a specific image, on a target image used as a target for a deformation process. The exclusion determination unit, when there is an overlap between the candidate areas, excludes one or more candidate areas from the target for the deformation process so as to eliminate the overlap. The deformation processing unit performs deformation of the image on the candidate areas other than the excluded candidate areas.

Abstract: An image processing device that executes deformation of an image. A candidate area setting unit sets candidate areas, each of which includes a specific image, on a target image used as a target for a deformation process. An exclusion determination unit, when there is a candidate area that partially extends off a cropped image that is clipped from the target image through predetermined cropping, excludes the candidate area, which at least partially extends off the cropped image, from the target for the deformation process. A deformation processing unit performs deformation of an image on the candidate areas other than the excluded candidate areas.

Abstract: An image processing apparatus such as a monitor system for executing image processing to present a suspicious object effectively. An object detecting unit detects an object contained in an image, an associating unit associates a plurality of objects detected with the object detecting unit, with each other, and an evaluating unit evaluates (e.g., evaluation as being suspicious) an object detected by the object detecting unit, and an association evaluating unit evaluates another object associated by the associating unit with the object evaluated by the evaluating unit, in accordance with the evaluation made by the evaluating unit.

Abstract: An image reading apparatus to read image of rectangle shape document set on a setting board, is supplied capable of assigning correct edge image to an output image. In the image reading apparatus, a image data storing section stores image data reading area lager than the rectangle shape document; an edge feature extracting section extracts edge feature according to the image data; a rectangle feature extracting section extracts edge feature of side regions respectively corresponding to each side of the rectangle shape document according to the edge feature; a region selecting section selects two regions from the side regions; a coordinates calculating section calculates coordinates specifying position of straight lines representing four sides through using inclination information of the selected respective two regions; and a compounded-image outputting section replaces the feature region with frame image according to the coordinates, compounds the frame image with image data, and outputs the compounded image.

Abstract: A method is provided for acquiring a reserved block in a holographic storage system. A symmetrical reference table is defined according to the characteristics of a known reference reserved block. Then, the differences between respective unit blocks and the reference reserved block are calculated according to the symmetrical reference table so as to determine total match scores for respective unit blocks. Consequently, the unit block having the highest match score is deemed as the reserved block.

Abstract: An image scanning apparatus according to the invention includes: a scanning unit configured to scan each of plural images from plural originals that are inputted; a rotation designating unit configured to designate rotation of the plural images that are scanned, so that an orientation of the plural images that are scanned coincides with a desired image orientation; a first image rotating unit configured to rotate the image that is scanned, in accordance with the designated rotation of the image; an orientation determining unit configured to determine whether the image orientation rotated by the first image rotating unit coincides with the desired image orientation or not; and a second image rotating unit configured to, for an image determined as not coinciding by the orientation determining unit, further rotate the orientation of the image so that the orientation coincides with the desired image orientation.

Abstract: A system and method for character recognition with document orientation determination is shown. The method is a detection of simple page orientation based on a limited version of character recognition. The method includes binairizing an input image which has a plurality of alphanumeric characters with a first orientation. The method continues with extracting the connected components and determining a second orientation where the second orientation is based on a 90° turn clockwise or counterclockwise or, in the alternative, no turn from the first orientation. The second orientation will result in a 180° variance from the proper orientation or it will be the proper orientation. The method continues with implementing a limited version of optical character recognition for an analysis of a character and determining if that second orientation is upside down, based at least in part on the analysis. This method generally uses the character “i” for analysis.

Abstract: Systems, methods, and apparatuses, including computer program products, are provided for re-layout of composite images. In some implementations, a method includes identifying geometric transformations corresponding to multiple images from a collection of images, where a geometric transformation reorients a corresponding image in relation to a common reference frame when applied and identifying a reference image for the multiple images in the collection of images. The method also includes determining overlapping image regions for the multiple images starting from the reference image, the determining based on the identified geometric transformations, determining additional transformations of a specified type for the multiple images based on the overlapping image regions, where an additional transformation lays out a corresponding image in relation to the reference image when applied, and making the additional transformations available for further processing and output with respect to the collection of images.

Abstract: Facilitating analysis of one or more mammography images on a review workstation is described. A point or region of interest is identified in a first mammography image of a human breast. The distance between the point or region of interest and a point of reference, preferably the breast nipple, on the first mammography image is determined. A locus of points in a second mammography image of the breast is calculated, the locus of points representing potential locations corresponding to the point or region of interest in the first mammography image, and the calculation being based at least in part on the distance between the point or region of interest and the point of reference. The locus of points is then highlighted a user so as to facilitate a determination by the user of one or more locations in the second mammography image corresponding to the point or region of interest in the first mammography image.

Abstract: An image deskew system and techniques are used in the context of optical character recognition. An image is obtained of an original set of characters in an original linear (horizontal) orientation. An acquired set of characters, which is skewed relative to the original linear orientation by a rotation angle, is represented by pixels of the image. The rotation angle is estimated, and a confidence value may be associated with the estimation, to determine whether to deskew the image. In connection with rotation angle estimation, an edge detection filter is applied to the acquired set of characters to produce an edge map, which is input to a linear hough transform filter to produce a set of output lines in parametric form. The output lines are assigned scores, and based on the scores, at least one output line is determined to be a dominant line with a slope approximating the rotation angle.

Abstract: Embodiments of the present invention relate to systems, methods and computer storage media for associating a known geographic location with a known identity. Feature matching, of at least two images, is performed in at least two iterations. The iterations are based on an orientation of feature vectors associated with points of interest in each image. A geometric model is applied to the matched points of interest to improve the matched pairs. Two images are identified as being related. As a result, the known geographic location is associated with the known identity. Additional embodiments include augmenting feature vectors with a coordinate location of a related point of interest based on a geometric model. Further, an exemplary embodiment includes an additional matching iteration based on the augmented feature vectors. In an exemplary embodiment, the feature matching utilizes a Scale-Invariant Feature Transform (SIFT).

Abstract: The present invention calibrates interior orientation parameters (IOP) and exterior orientation parameters (EOP). With the calibrated IOPs and EOPs, a remotely controlled camera can quickly obtains corresponding IOPs and EOPs no matter on panning, tilting or zooming. Thus, the remotely controlled camera obtains accuracies on imaging and measuring and obtains wide applications.

Abstract: Disclosed are embodiments of systems and methods to use a model-based technique for image error recovery in data communication. A low-dimensional representation is constructed of an image that contains errors. A manifold comprising image representations and a statistical model of the manifold are used to correct the errors in the image.

Abstract: A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector.

Abstract: Systems, methods, and apparatus, including software tangibly stored on a computer readable medium, involve identifying text in an electronic document. An electronic document that includes an image object is received. In a first region of the image object, a first set of text characters having a first orientation in the image object are recognized. In a second region of the image object, a second set of text characters having a second orientation in the image object are recognized. The electronic document is modified to include a first text object containing an identification of the first set of text characters and a second text object containing an identification of the second set of text characters. The identification of the first set of text characters includes a first set of values. Each value in the first set of values represent an individual text character recognized in the first region. The identification of the second set of text characters includes a second set of values.

Abstract: A method of registering a print between print stages in a printing system is provided. The method comprises: printing a first part of a digital image on a substrate with a first print engine, wherein the first part of the digital image includes a plurality of reference features; scanning image content on the substrate as it is readied for the second print engine; determining the actual positions of the reference features; using the actual positions of the reference features to determine desired adjustments for the second part of the digital image; applying electronic registration according to the desired adjustments to modify image content of the second print to be aligned with content already on the substrate; and printing a second part of the digital image on the substrate.

Abstract: This invention provides a correcting device and a correcting method for perspective transformation of document images.

Abstract: A method for calculating a skew angle of an original image, executed at least in part on a computer system stores image data for the original image in an electronic memory, then forms an energy-normalized image according to the relative contrast amplitude of image features over each of a plurality of local image regions within the stored image data. A partitioned image is formed by partitioning the energy-normalized image into a number of sub-regions. A summed region is formed as a combination of image pixel data from the sub-regions. A Fourier magnitude spectrum is obtained by performing a Fourier transform on the summed region. The skew angle is calculated according to the peak value of a radial line integration function that is formed by integrating the Fourier magnitude spectrum along each of a plurality of lines of constant radial angles. An output signal indicates the calculated skew angle.

Abstract: A system and method of geometrical predistortion of a graphical source signal is provided in which the graphical source signal is merged with an input video signal for display on a display device. The input video signal is received at a hardware scaler device and a predistorted video signal is generated there from. A warping map is calculated using a programmed processor and a graphics source signal is then predistorted, in software, using the warping map to generate a warped graphical overlay signal. The predistorted video signal from the hardware scaler is then merged with the warped graphical overlay signal from the programmed processor.

Abstract: An information processing apparatus that can be connected to an image-forming apparatus, a method, and a program used for the information processing apparatus are disclosed. The information processing apparatus comprises a control unit for controlling print-setting information set for document data to be printed, a recognition unit for recognizing information about a first function specified by the print-setting information by translating the print-setting information controlled by the control unit, an obtaining unit for obtaining information about a second function of the image-forming apparatus connected to the information processing apparatus, a determination unit for determining whether or not the image-forming apparatus can perform the first function recognized by the recognition unit based on the second-function information obtained by the obtaining unit, and a modification unit for modifying the print-setting information controlled by the control unit based on the determination result.

Abstract: Described is a system for automatic digital photo orientation detection. We leverage online public photos with great content variation to extract effective features with layout information. Classification proceeds using an approximate nearest neighbors approach which scales well to massive training sets, hardly compromising efficiency. We have tested the method successfully on the largest data set to date of nearly 30,000 Flickr photos as well as both difficult and typical consumer usage scenarios. Though limited data are available for comparison across different systems, the proposed system significantly outperforms a state of the art system on a common data set.

Abstract: An image feature within image data may be identified and located from the maximum values in a Hough voting table. The Hough voting table may be generated by converting edge pixels identified with an image data into an array. The array may be read in row order with theta on the outside loop and rho on the inside loop. In some embodiments, the storage requirements for the Hough voting table may be reduced.

Abstract: Briefly, in accordance with one or more embodiments, an image processing system is capable of receiving an image containing text, applying optical character recognition to the image, and then audibly reproducing the text via text-to-speech synthesis. Prior to optical character recognition, an orientation corrector is capable of detecting an amount of angular rotation of the text in the image with respect to horizontal, and then rotating the image by an appropriate amount to sufficiently align the text with respect to horizontal for optimal optical character recognition. The detection may be performed using steerable filters to provide an energy versus orientation curve of the image data. A maximum of the energy curve may indicate the amount of angular rotation that may be corrected by the orientation corrector.

Abstract: An image processing device includes an acquiring unit that acquires, from image data, processing image data having a first resolution in a first direction and a second resolution in a second direction different from the first direction; a receiving unit that receives input of a first theoretical resolution in the first direction and a second theoretical resolution in the second direction; and a tilt detecting unit that detects tilt of the image data in accordance with the processing image data and the first theoretical resolution and the second theoretical resolution.

Abstract: The present invention relates to a method for aligning a camera sensor to significant data which is text or barcode data to be recognized comprising the steps of:—capturing an image of the significant data by means of the camera sensor; —detecting a predominant alignment line of the significant data and detecting an angle thereof in relation to a horizontal line of the captured image; —determining image sections within the edge and line enhanced image which contain most likely significant data lines; —selecting a representative image section out of the determined image sections which is aligned with the predominant alignment line; —capturing a following image of the significant data; tracking the representative image section and determining the predominant alignment line out of the representative image section to achieve a fast calculation and audio or tactile feedback of the alignment quality to the user.

Abstract: A computer-implemented method may include receiving, over a network, an image from an image capture device, determining an image adjustment to the image, and communicating, over the network, the image adjustment to the image capture device.

Abstract: An image processing apparatus includes an inputting unit to receive image data having pixel data, an image processing unit to align and output the pixel data, and a control unit to prevent the pixel data from being transmitted to the image processing unit when the pixel data have null data.

Abstract: A printing apparatus that can maintain consistency between image information and page numbers with respect to that image information. The printing apparatus includes: a data input unit that embeds identification information for identifying pages to be printed in image information; and a data converting unit, a layout determining unit, a rasterizing unit and a print engine control unit that determine whether or not the processing order is a predetermined page order on the basis of the identification information that has been embedded in each image information set and, when the processing order is the predetermined page order, perform processing in a state where the identification information remains embedded with respect to the image information serving as the determination target.

Abstract: The determination of an orientation of a finger touching a touch-sensitive device is disclosed. In one embodiment, a computing device comprises a display screen configured to display an image to a user, and an intensity-sensitive touch-sensing input mechanism configured to detect one or more objects touching the display screen. The device also comprises a controller configured to determine an orientation of a finger touching the screen from a direction between a center of a first set of touch data and a center of a second set of touch data, and to adjust an image on the display screen in response to a determined orientation of the finger.

Abstract: A method and system for registering a first image of, for example, a liver and a second image of the liver being contrast-enhanced comprises: deriving a statistical similarity measure between images; deriving a smooth divergence-free vector field derived from a gradient of the statistical similarity measure; and integrating the vector field for providing a fluid-based algorithm including a volume-preserving constraint for a transformation for registering the images.

Abstract: A method of automatically determining orientation of a digital image comprises extracting features of the digital image and processing the extracted features using diverse classifiers to determine orientation of the digital image based on the combined output of the diverse classifiers.

Abstract: A method (1000) of measuring performance parameters of an imaging device (120, 160) is disclosed. The method (1000) maintains a test pattern image (1005), the test pattern image (1005) comprising alignment features and image analysis features. A test chart (110, 170) containing a representation of the test pattern image is next imaged using the imaging device (120, 160) to form a second image (1010). The test pattern image (1005) and the second image (1010) are then registered using region based matching (1035) operating on the alignment features. Finally, the performance parameters are measured by analysing (1060) the image analysis features.

Abstract: Aspects of the present invention are related to systems and methods for determining the orientation of an electronic document image.

Abstract: The present invention relates to a method for increasing operation speed in virtual three dimensional (3D) application and an operational method thereof. The method includes the steps of: providing a display frame, which includes a plurality of scan lines; dividing the display frame into at least one first area and a second area; providing a plurality of virtual 3D parameters according to the scan lines; and truncating a preset number of least significant bits (LSBs) of the virtual 3D parameters corresponding to the scan lines in the first area.

Abstract: Methods and apparatus for detecting skew in a document image, such as a check image, to produce a de-skewed image are described. One example method includes detecting one or more lines in the image and determining whether the one or more lines are reliable. Reliability of a line may be based on at least one of line length, straightness, and the presence of holes in the line. If one or more lines are reliable, the method may calculate a skew angle of the image based on the one or more reliable lines' orientations with respect to an orientation of the image. A comparison may also be made between lines detected in different regions of the check to determine if a difference between skew angles corresponding to each of the compared lines is lower than an error threshold.

Abstract: A method and system for determining the orientation of an image of a picture within a scanned image, including the steps of locating in the scanned image the contour of the image of the picture, determining a plurality of bounding boxes confining the contour of the image of the picture, selecting one of the plurality of bounding boxes that is substantially aligned with the contour of the image of the picture, and calculating an angle of rotation of the picture based on the selected bounding box.