Canon Kabushiki Kaisha

Yoshihiro Ishida

Naoto Kawamura

Yoshinobu Mita

Miyuki Enokida

Akihiro Katayama

Keiichi Iwamura

Junichi Yamakawa

Shinichiro Koga

Nobuyuki Shigeeda

Junichi Shishizuka

Junichi Hayashi

Takashi Oya

Tomochika Murakami

Akihiro Yoshitani

Tsuneyoshi Takagi

Takeshi Kawazome

Mitsuru Maeda

Masahiro Shibata

Tadashi Yoshida

Hiromitsu Nishikawa

Takeshi Makita

Osamu Yoshizaki

Shinichi Kato

Naoki Ito

Kitahiro Kaneda

Yukio Sato

Masakazu Fujiki

Kunihiro Yamamoto

Toshiaki Minami

Tadashi Yamamoto

Masafumi Wataya

Ken-ichi Ohta

Tomotoshi Kanatsu

Yasuji Hirabayashi

Hidefumi Osawa

Takami Eguchi

Xiaoyan Dai

Taeko Yamazaki

Yuichi Bannai

Tomohiko Matsuura

Yuji Nishigaki

Norio Shimura

Hiroto Oka

Takahiro Oshino

Osamu Morimoto

Hideo Honma

Jun Tamaru

Xin Ji

Xinwu Chen

Yuichi Tsunematsu

Libing Wang

An image processing apparatus includes a color intersection point determination and contour point extraction unit configured to raster-scan a multivalued image by using a pixel matrix having a predetermined size, to determine whether a target point is a color intersection point for dividing a contour for forming a boundary between pixels having a different value from each other, according to states of a plurality of pixels in the pixel matrix, and to extract a contour point for forming the boundary between the pixels having a different value from each other; and a contour information reconstruction unit configured to, by using color intersection points determined by the color intersection point determination and contour point extraction unit and contour points extracted thereby, generate contour information including contour lines each being sectioned by the color intersection points.

Image processing apparatus, image processing method, and storage medium

When an image including a composite figure made of a predefined figure and a free-form figure is scanned, the position and shape of the free-form figure and the predefined figure are appropriately adjusted. The composite figure is separated into a predefined figure and a free-form figure. With respect to the separated predefined figure, a representative point is set at a predetermined position according to the type of the predefined figure and a representative point is set for the free-form figure based on a criterion according to a type of the free-form figure. If the representative point of a predefined figure is in the vicinity of the representative point of the free-form figure, the free-form figure is corrected based on the position of the representative point of the free-form figure and the position of the representative point of the predefined figure.

Figure processing apparatus, figure processing method, and storage medium

It is determined whether or not there is inconsistency between image sensing mode data, which is set by an operator with respect to a scene including an object of shooting, and attribute data, e.g., focal length data or the like, that accompanies an obtained image. When it is determined that there is inconsistency between the image sensing mode data and attribute data, a caution is given to the operator that it is necessary to maintain consistency.

Image processing apparatus and image processing method

An image in which at least one color component among a plurality of color components in an input color image has a resolution lower than that of the other color components is held as a base image. A rectangular region that includes an object image is extracted, a region of the object image and a region of a background image are specified in the rectangular region, and fill-up processing of the specified object image is executed in the base image. Fill-up processing executed at a boundary between the object image and the base image differs from fill-up processing executed at a boundary between the object image and the background image.

Image processing apparatus and method, including fill-up processing

The present invention provides an image processing apparatus which able to shorten processing time and includes an image inputting unit that inputs an image, a region division unit that generates region information by dividing an input image input by the image inputting unit into regions having a plurality of different types of attributes, including a frame region attribute, a non-frame region processing unit that obtains data of respective regions other than frame regions by applying attribute-specific processing for respective regions, excluding frame regions, included in the input image on the basis of the input image and the region information, and executes processing of filling of the processed regions, and a frame region processing unit that executes reduction processing and vectorization processing for the frame region according to the region size of the frame region.

Image processing apparatus, image processing method, and program

The purpose of the invention is to improve the Bezier approximation accuracy with relatively high speed processing so far as data amount permits, and to provide an image processing device and image processing method thereof which improves the Bezier approximation accuracy within the predetermined processing time.

Image processing device and method for benzier approximation accuracy within a pre-defined data amount or predetermined processing time

Noise does not occur even if an image of an object region extracted from an input image and a background image are stored separately, and then displayed or printed, at a boundary portion of the object region. A boundary region is set at the inner side of the object region of the input image, and a pixel value of an adjacent pixel at the outer side of the boundary of the object region is written to a corresponding pixel in the boundary region. Even if a difference occurs between the background image and the object image, when a document file is displayed or printed, since the pixel value of the pixel at the outer side of the object region is assigned to the pixel in the boundary region, noise due to average color does not occur.

An image processing apparatus generating a thin line binary image and extracting vectors includes: a vector extracting unit configured to raster-scan the thin line binary image by using a pixel matrix including a plurality of pixels to extract a vector to which contour point information is added in accordance with a predetermined pattern of black and white pixels in the pixel matrix; and a coordinate correcting unit configured to detect that the vector has been extracted from a set of black pixels in 2 pixels&#xd7;2 pixels in the pixel matrix by referring to the contour point information added to the vector and correct a coordinate of a core-line vector in accordance with coordinate correction information included in the contour point information, the core-line vector being produced by reducing the vector to a core line.

Image processing for generating a thin line binary image and extracting vectors

An image processing apparatus can generate a vector sequence representing each color region of a color image. The image processing apparatus divides the image into plural regions based on attribute information of the image, and extracts region boundary information relating to a boundary line between different regions. The image processing apparatus generates inter-edge point vector data for each boundary connecting a first edge point to a second edge point corresponding to intersections of boundaries between neighboring regions, based on the extracted region boundary information. The image processing apparatus identifies one or more inter-edge point vector data representing a boundary of each divided region based on the generated inter-edge point vector data, and generates individual region vector data.

Image processing apparatus, method for controlling image processing apparatus, and storage medium storing related program

According to the present invention, the face of a subject person can be rapidly detected. An image input unit inputs an image to be processed. A photographing-position input unit inputs photographing-position information attached to the processed image. An angle-range information determination unit determines an angle range, where face detection should be performed to the processed image, on the basis of the information obtained by the photographing-position information input unit. On the basis of information indicating the determined angle range, under the control of a process control unit, a face detection unit performs face detection to the processed image input by the image input unit in predetermined angle increments. A face integration unit integrates all of face data detected by a basic-angle-range face detection unit into face information and then outputs the information.

Image processing apparatus and method and program storage medium

In an image processing method, contour information is extracted on the basis of terminal points and intersections included in a thinned line drawing, the contour information being extracted for each of closed curves and line elements connecting the terminal points and the intersections included in the line drawing, and skeletonized vector data is generated on the basis of the contour information. Start and end terminal points in the skeletonized vector data are determined. Artificial vectors to be inserted between the determined start and end terminal points are generated, and artificial-vector-inserted vector data including the generated artificial vectors is generated. A smoothing process is performed for the artificial-vector-inserted vector data, and then smoothed, non-circumference vector data is generated on the basis of the start and end terminal points. The thinned line drawing is raster-scanned in units of a pixel matrix.

Method and apparatus for processing line drawings in images

To provide adaptive image processing for a portrait, face information about the face of a person contained in an image is acquired, and it is determined on the basis of the face information whether a significant personal face is contained in the image. If there is face information representing the presence of a significant personal face, adaptive processing adjustment information which adjusts the contents of high quality processing for a portrait, which should be executed for the process target image, is generated from the face information about the face of the person contained in the image. The high quality processing adjusted on the basis of the adaptive processing adjustment information is executed for the image.

Image processing apparatus and method therefor

An image processing method includes the steps of inputting image data representing an input image, acquiring an image size of a face image which has the maximum image-face size contained in the input image, and correcting the image data using a first correcting condition in accordance with the acquired image size. An image processing apparatus includes an input section, an acquisition section, and a corrector, performing the input, acquiring, and correction steps, respectively. A computer-readable storage medium storing a computer-executable program for causing a computer to perform an image processing method including the input, acquiring, and correction steps.

It is required to protect the copyrights and the like of partial images which form respective parts of an image obtained by reading an image, exchanged using a print as a medium, by an image scanner or the like. Input image data is divided into a plurality of image regions having different features, digital watermarks, which are embedded in the detected image regions by embedding methods corresponding to the features of the image regions, are extracted, and the availability of the input image is checked on the basis of the extracted digital watermarks.

Image processing apparatus and method

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Yokohama, Japan

Yoshihiro Ishida