Abstract: A rather expanded binary image and a rather blurry binary image are generated from a multiple-valued image. A ruled line candidate area is extracted from the rather expanded binary image, and the extracted ruled line candidate area is verified using the rather blurry binary image.

Abstract: An image distortion correcting apparatus is provided with an image input section to input an image of a flat rectangular paper surface imaged by an imaging section, as an input image, an imaging position estimating section to estimate a relative imaging position of the imaging section with respect to the paper surface from four vertexes of the rectangular paper surface within the input image, a rectangular paper surface estimating section to estimate four vertexes of the rectangular paper surface within a three-dimensional space based on the imaging position, and an image correcting section to correct a perspective transformation distortion in the paper surface within the input image based on the imaging position and the four vertexes within the three-dimensional space, so as to output an output image.

Abstract: A three-dimensional curved-surface model can be estimated by using both two-dimensional outlines obtained from a piece of image photographed from the top and a restriction that the paper is rectangular. Then, only the three-dimensional distortion in the image can be corrected based on the obtained three-dimensional curved-surface model.

Abstract: Herein disclosed is a memo image managing apparatus, system and method which are adapted to manage and retrieve a large amount of memo images. The memo image managing apparatus that is connectable to a portable terminal capable of performing a memo image exchange and a memo image display comprises: a managing server adapted to manage memo images and a character information recognizing server adapted to recognize character information of the memo image. The managing server is comprised of a memo image accumulating section adapted to accumulate memo images and a memo image retrieving section adapted to retrieve a predetermined memo image from the accumulated memo images in response to a request. The character information recognizing server is comprised of a character information recognizing section adapted to recognize character information from the memo image.

Abstract: It is judged for each pixel in an inputted multilevel image whether the pixel is a background pixel, and the pixel is locally binarized if it is judged not to be a background pixel. Then, it is judged whether the pixel belongs to a background or a stroke, such as of a character, ruled line, etc., and a binary image is generated.

Abstract: A rather expanded binary image and a rather blurry binary image are generated from a multiple-valued image. A ruled line candidate area is extracted from the rather expanded binary image, and the extracted ruled line candidate area is verified using the rather blurry binary image.

Abstract: An information processing apparatus extracts a plurality of strokes from a multilevel image, and generates a stroke binary image. Next, the image processing apparatus extracts feature amounts indicating the thickness and the smoothed graylevel of a stroke in a neighboring region of a target pixel by using each pixel belonging to each of the strokes as the target pixel. Then, the apparatus generates a target stroke binary image from the stroke binary image based on the distribution of the extracted feature amounts.

Abstract: A table image processing device processes a table image and a memory medium stores a processing program. The table image processing device processes precisely a table image containing a round corner and includes a device extracting a line extracting a longitudinal line and lateral line out of an input image, a device finding a potential match of a round corner region extracting an oblique line which commences from a terminal of a line found by the line extracting device, and finding the potential match of the round corner region, a device extracting a cell containing the potential match of the round corner found by the potential match of the round corner region finding device, and a device deciding the round corner part deciding the round corner from the cells found by the device extracting the cells.

Abstract: After an original image, including half-tone dot meshed characters are inputted and a prescribed process is applied to the original image, black pixel connection patterns are extracted from a target process area. If the density of the extracted pattern exceeds prescribed density, it is judged that the pattern is half-tone dot meshed and both the respective average values and standard deviations of the vertical/horizontal sizes of the connection pattern are calculated. Then, respective threshold values are calculated based on both the respective average values and standard deviations, and half-tone dot patterns are eliminated. Furthermore, a pattern, the outline of which is long compared with an included black pixel, of all the remaining connection patterns is eliminated as an unnecessary pattern. Lastly, projections attached to a character are deleted and character extraction is terminated.

Abstract: A multilevel image into which a color or a black-and-white image is converted is input, and a slightly indistinct binary image generating unit generates a slightly indistinct binary image that includes a slightly indistinct line pattern and does not include background noise. Additionally, a shape-preserved binary image generating unit generates a binary image that preserves the shape of a line pattern and includes background noise. These images are ANDed for each pixel, so that a binary image that preserves the shape of the line pattern and does not include the background noise is generated.

Abstract: An information processing apparatus extracts a plurality of strokes from a multilevel image, and generates a stroke binary image. Next, the image processing apparatus extracts feature amounts indicating the thickness and the smoothed graylevel of a stroke in a neighboring region of a target pixel by using each pixel belonging to each of the strokes as the target pixel. Then, the apparatus generates a target stroke binary image from the stroke binary image based on the distribution of the extracted feature amounts.

Abstract: A three-dimensional curved-surface model can be estimated by using both two-dimensional outlines obtained from a piece of image photographed from the top and a restriction that the paper is rectangular. Then, only the three-dimensional distortion in the image can be corrected based on the obtained three-dimensional curved-surface model.

Abstract: A three-dimensional curved-surface model can be estimated by using both two-dimensional outlines obtained from a piece of image photographed from the top and a restriction that the paper is rectangular. Then, only the three-dimensional distortion in the image can be corrected based on the obtained three-dimensional curved-surface model.

Abstract: A rather expanded binary image and a rather blurry binary image are generated from a multiple-valued image. A ruled line candidate area is extracted from the rather expanded binary image, and the extracted ruled line candidate area is verified using the rather blurry binary image.

Abstract: An image distortion correcting apparatus is provided with an image input section to input an image of a flat rectangular paper surface imaged by an imaging section, as an input image, an imaging position estimating section to estimate a relative imaging position of the imaging section with respect to the paper surface from four vertexes of the rectangular paper surface within the input image, a rectangular paper surface estimating section to estimate four vertexes of the rectangular paper surface within a three-dimensional space based on the imaging position, and an image correcting section to correct a perspective transformation distortion in the paper surface within the input image based on the imaging position and the four vertexes within the three-dimensional space, so as to output an output image.

Abstract: Herein disclosed is a memo image managing apparatus, system and method which are adapted to manage and retrieve a large amount of memo images. The memo image managing apparatus that is connectable to a portable terminal capable of performing a memo image exchange and a memo image display comprises: a managing server adapted to manage memo images and a character information recognizing server adapted to recognize character information of the memo image. The managing server is comprised of a memo image accumulating section adapted to accumulate memo images and a memo image retrieving section adapted to retrieve a predetermined memo image from the accumulated memo images in response to a request. The character information recognizing server is comprised of a character information recognizing section adapted to recognize character information from the memo image.

Abstract: After an original image, including half-tone dot meshed characters are inputted and a prescribed process is applied to the original image, black pixel connection patterns are extracted from a target process area. If the density of the extracted pattern exceeds prescribed density, it is judged that the pattern is half-tone dot meshed and both the respective average values and standard deviations of the vertical/horizontal sizes of the connection pattern are calculated. Then, respective threshold values are calculated based on both the respective average values and standard deviations, and half-tone dot patterns are eliminated. Furthermore, a pattern, the outline of which is long compared with an included black pixel, of all the remaining connection patterns is eliminated as an unnecessary pattern. Lastly, projections attached to a character are deleted and character extraction is terminated.

Abstract: A multilevel image into which a color or a back-and-white image is converted is input, and a slightly indistinct binary image generating unit generates a slightly indistinct binary image that includes a slightly indistinct line pattern and does not include background noise. Additionally, a shape-preserved binary image generating unit generates a binary image that preserves the shape of a line pattern and includes background noise. These images are ANDed for each pixel, so that a binary image that preserves the shape of the line pattern and does not include the background noise is generated.

Abstract: A pattern extraction apparatus computes the convexity/concavity of an input pattern, regards a pattern having large convexity/concavity as a character, and regards a pattern having small convexity/concavity as a ruled line.

Abstract: A three-dimensional curved-surface model can be estimated by using both two-dimensional outlines obtained from a piece of image photographed from the top and a restriction that the paper is rectangular. Then, only the three-dimensional distortion in the image can be corrected based on the obtained three-dimensional curved-surface model.