Fuji Xerox Co., Ltd.

Fujifilm Business Innovation Corp.

Masakazu Fukunaga

Taro Yokose

Junichi Matsunoshita

Takashi Kikuchi

Yasunari Kishimoto

Minoru Sodeura

A document processing apparatus includes a processor configured to receive purpose information indicating a purpose of creating a document, extract item definition information corresponding to the purpose indicated by the received purpose information from item definition information stored in a memory for the item definition information in which one or more items to be posted in the document are defined in correspondence with the purpose of creating the document, extract an item value corresponding to each item defined in the extracted item definition information from item information stored in a memory for the item information including the item value of each item, and assign the extracted item value in each predetermined area of the document to create the document.

Document processing apparatus, document processing system, and non-transitory computer readable medium storing program

An image processing apparatus includes a first extraction unit, a second extraction unit, and a third extraction unit. The first extraction unit extracts a first area in an image that includes plural document images, the first area having low-frequency characteristics. The second extraction unit extracts a second area in the image, the second area having high-frequency characteristics. The third extraction unit extracts areas of the document images by combining the first area and the second area in accordance with whether a background of the image is white.

Image processing apparatus and non-transitory computer readable medium

An image processing apparatus includes a first detection unit and a second detection unit. The first detection unit detects a rectangular shape in an image including plural document images. The second detection unit detects, in a case where a background of the rectangular shape is not white, rectangular shapes included in the rectangular shape detected by the first detection unit as document images.

An image processing apparatus includes the following elements. A receiving device receives an image. An estimating device estimates, for each of pixels within the image received by the receiving device, on the basis of the received image, an amount of fog, which is a difference between a luminance value of the pixel and an original luminance value of the pixel. A measuring device measures, for each of the pixels within the received image, a chroma value of the pixel. A determining device determines a correction target value for luminance values of pixels of a background portion within the received image. A correcting device corrects the chroma value of the pixel measured by the measuring device on the basis of the amount of fog estimated by the estimating device, the correction target value determined by the determining device, and a distance from the chroma value to an achromatic color.

Image processing apparatus, image processing method, and computer readable medium

An image processing apparatus includes the following elements. A receiving device receives an image. An estimating device estimates, for each of pixels within the image received by the receiving device, on the basis of the received image, an amount of fog, which is a difference between a luminance value of the pixel and an original luminance value of the pixel. A measuring device measures, for each of the pixels within the image received by the receiving device, a luminance value of the pixel. A determining device determines a correction target value for luminance values of pixels of a background portion within the image received by the receiving device. A correcting device corrects the luminance value of each of the pixels measured by the measuring device on the basis of the amount of fog estimated by the estimating device and the correction target value determined by the determining device.

Image processing apparatus, image processing method, and computer readable medium for correcting a luminance value of a pixel for reducing image fog

An image processing apparatus includes the following elements. A receiving device receives an image. An extracting device extracts regions from the image received by the receiving device. A selecting device selects a region from among the regions extracted by the extracting device in accordance with a predetermined rule. A measuring device measures luminance values of pixels contained in the region selected by the selecting device. An estimating device estimates a function representing a degree of fog in the image received by the receiving device from the luminance values of the pixels measured by the measuring device. An eliminating device eliminates fog from the image received by the receiving device on the basis of the function estimated by the estimating device.

An image-processing device comprises an acquisition section that acquires a binary image; a figure part identifying section that identifies a figure part in the binary image; a line segment identifying section that identifies line segments included in the figure part; a specific line segment extracting section that determines whether each line segment has an end portion having a specific shape, and extracts a line segment with an end portion having the specific shape as a specific line segment; and a table region determining section that determines whether the figure part is a table region based on the line segments identified by the line segment identifying section excluding the specific line segment.

Image processing device, image processing method and computer-readable medium

An image determination apparatus includes a first extraction unit, a second extraction unit, a calculation unit, and a correction unit. The first extraction unit extracts a first set from an image including linear components that are line-shaped components. The first set includes a linear component extending along a first direction and a linear component extending along a second direction intersecting the first direction. The second extraction unit extracts a second set including a linear component extending along a direction different from the first and second directions. The calculation unit calculates a likelihood for the first set extracted by the first extraction unit in accordance with a relationship between linear components included in the first set. The likelihood is a likelihood of a table being formed. The correction unit corrects the likelihood calculated by the calculation unit in accordance with a relationship between the first set and the second set.

Image determination apparatus, computer readable medium storing program, and method

An image-processing device includes: an integration unit that, if connection information has been assigned to predetermined corresponding end points of both a first image component and a second image component from among image components, integrates the adjacent image components; a calculation unit that calculates the sum of values, the values being assigned corresponding to the connection information assigned to each end point of the image components in an integrated image component that is composed of a plural image components integrated by the integration unit; and a tabular region extraction unit that, if the value calculated by the calculation unit is equal to or greater than a threshold value corresponding to the number of image components included in the integrated image component, extracts a region of the integrated image component as a tabular region.

Image-processing device, image-reading device, image-forming device, image-processing program, and image-processing method

An image extracting method includes: acquiring a scan image; generating a binary image of the acquired scan image and detects connected pixels in the generated binary image; setting up a circumscribed rectangle for the detected connected pixels; performing, in each side of a circumscribed rectangle, scan in a direction perpendicular to the side so as to detect edge pixels, wherein the scan starts at a plurality of points on a line, and the line extends to one vertex of the side, from a contacting point at which the connected pixels and the side contact; determining whether the detected edge pixels are located in a contour part of the object reproduced in the scan image; setting up a rectangular region based on the edge pixels determined as being located in the contour part of the object; and extracting an image from the set-up rectangular region.

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Kanagawa, Japan

Masakazu Fukunaga