Fujitsu Corporation

Satoshi Naoi

Jun Sun

Katsuhito Fujimoto

Yoshinobu Hotta

Yutaka Katsuyama

Atsuko Ohara

Hiroaki Takebe

Misako Suwa

Yuan He

Maki Yabuki

Hao Yu

Hideki Yanagishita

Sun Jun

Pan Pan

Noriaki Ozawa

Atsuko Asakawa

Shinichi Eguchi

Yutaka Katsumata

Morito Shiohara

Koichi Chiba

Eiichi Watanabe

Hideo Kamata

Kazunori Yamamoto

Yifeng Pan

Hideyuki Inaoka

Koji Kurokawa

Hiroichi Egawa

Tomohiro Matsuhashi

Shunji Sakane

Danian Zheng

Kazuhide Ushita

Shigemi Nagata

Katsutoshi Kobara

Shufu Xie

Fumihito Nishino

Katsuhiko Nishikawa

Takashi Toriu

Tohru Ozaki

Hideki Matsuno

Yoshihiro Nagano

Kazuhito Watanabe

Yoshiyuki Kijima

Junji Kashioka

Xu-Cheng Yin

Yasutaka Machida

Yoshinori Yamazaki

Yusaku Fuji

Akira Inoue

The invention provides an apparatus and method for extracting a boundary of an object in an image and an electronic device. The apparatus includes: a position determining unit, configured to determine a start point and an end point of a boundary of an object in an image and to determine a position of a reference point relevant to the start point and the end point; a first direction determining unit, configured to determine a first direction of the boundary; a gradient map obtaining unit, configured to obtain a gradient map of a first region; a gradient attenuating unit, configured to attenuate in the gradient map the gradients of a second region; and an extracting unit, configured to extract a boundary of an object. The technology of the invention can improve the accuracy of boundary extracting, and can be applied in the field of image processing.

Apparatus, method for extracting boundary of object in image, and electronic device thereof

The disclosure provides an image processing device, image processing method, scanner and storage medium. The image processing device is used for tracing a boundary of an object image in an image, the boundary being continuous and the rate of change in slope between adjacent points on the boundary being slow. The image processing device includes: a boundary estimation unit, adapted to estimate the location of the boundary of the object image; an interfering gradient processing unit, adapted to process an interfering gradient near the estimated boundary, so as to reduce the interfering gradient or remove the interfering gradient from the image; and a boundary tracing unit, adapted to trace the boundary in the image having the interfering gradient processed. By using the technique of the disclosure, the accuracy of tracing a boundary of an image is improved significantly.

Image processing device, image processing method, scanner and storage medium

The present invention discloses a boundary extraction method and apparatus, the method including: a gradient estimation step of estimating a gradient of each pixel in a captured image; a gradient adjustment step of adjusting, by enhancing a gradient of a target boundary of an object contained in the captured image and weakening a gradient of a noise boundary, the estimated gradient, so that the adjusted gradient is considered as a current gradient; and a boundary extraction step of extracting a boundary of the object based on the current gradient. According to the embodiments of the invention, in a case of using a non-contact imaging device to capture an image, it is possible to more accurately extract a boundary of an object contained in the captured image.

Boundary extraction method and apparatus

The present invention relates to a method and apparatus for processing a scanned image. The method for processing a scanned image comprises: a shaded region extracting step of extracting a region, which is shaded by a shading object and lies in a margin in the vicinity of an edge of the scanned image, as a shaded region and a pixel value repairing step of repairing values of pixels, which lie both in a line segment and the shaded region, by using a linear model according to known values of pixels, which lie both in the line segment and the margin, the line segment passing through the shaded region and being parallel to the edge.

Method and apparatus for processing scanned image

The present invention provides an image processing device, an image processing method and an apparatus so as to improve at least the precision of extracting document corners in image processing performed on an image captured for a document. The image processing device includes: an extracting unit for extracting boundaries of a document in a first direction and roughly-detected document corners, where the first direction is a horizontal direction or a vertical direction of the document image; a determining unit for determining candidate page corners on the boundaries in the first direction around the roughly-detected document corners; and a selecting unit for determining document corners of the document among the candidate page corners. With the foregoing technology of the invention, more precise document corners can be extracted, a better effect of image processing can be obtained, and applications in the field of image processing are possible.

Image processing device, image processing method and apparatus for high precision document corners extraction

The present invention discloses a method and apparatus for correcting a corner point of an image and an image processing device. The method includes: determining first candidate corner points of an initial corner point in a first local region; obtaining information related to the image in a second local region; selecting, among the first candidate corner points of the initial corner point, the first candidate corner points meeting a predetermined condition, as second candidate corner points of the initial corner point according to the information; and correcting the initial corner point using the second candidate corner points of the initial corner point. The apparatus is configured to perform the processes of the method. The image processing device includes the apparatus for correcting a corner point of an image. With the technology, a roughly detected corner point can be corrected.

Method and apparatus for correcting corner point of image and image processing device

An image processing method and apparatus is provided. The image processing method includes steps of: generating a first scale binary image from an image, wherein the first scale is smaller than the original scale of the image; detecting at least one text line in the image based on the first scale binary image; generating a second scale binary image from the image, wherein the second scale is larger than the first scale; for each text line, calculating a similarity between corresponding sections in the first scale binary image and the second scale binary image, and removing the text line for which the similarity is lower than a predetermined level; for one or more of the remaining text line(s), performing OCR on corresponding section(s) in the second scale binary image to determine character orientation(s) of corresponding text line(s); and determining the orientation of the image according to the determined character orientation(s).

Image processing method and apparatus

An image processing method includes estimating corners of a contour of an object area in an obtained image, searching for contour lines of the object area between every two points which are offset from the estimated corners within a predetermined degree or distance along a direction away from the object area respectively, and determining intersection points of the contour lines as final corners of the contour of the object area, and determining contour lines between the final corners as a final contour of the object area.

Image processing method and image processing apparatus

The disclosure provides a document processing apparatus, method and a scanner. The document processing apparatus includes: a text line extraction unit extracting a text line from an input document; a language classification unit determining whether an OCR process is necessary for a language of the input document; an OCR unit determining, by performing the OCR process, an OCR confidence in the case that it is determined that the OCR process is necessary; an graphic feature recognition unit determining an graphic feature recognition confidence; and a determination unit determining a combination confidence based on at least one of the determined graphic feature recognition confidences and the determined OCR confidences, and determining an orientation of the input document based on the combination confidences. This technical solution can determine better an orientation of the document, and is especially applicable when the quality of the image of the document is deteriorated.

Document processing apparatus, document processing method and scanner

An image processing device including: a local mean image generating section; a binarization image generating section configured to generate a binarization image, wherein pixels corresponding to high frequency regions and low frequency regions have a first and second grey scales, respectively; a ternarization image generating section configured to divide, based on comparison between the image and the local mean image, first grey scale regions in the binarization image into regions having the first grey scale and regions having a third grey scale; a filling section configured to recognize connected regions having the second grey scale in the ternarization image, to fill the connected regions with the first grey scale or with the third grey scale according to grey scale of pixels at boundaries of the connected regions; and a recognizing section configured to recognize strokes according to consistency of grey scale at object boundaries in the filled ternarization image.

Image processing device and method

The present embodiments disclose a method of and device for identifying the direction of characters in an image block. The method includes: performing optical character recognition processing on the image block by assuming various directions as assumed character directions to obtain sub image blocks, recognized characters corresponding to the sub image blocks and correctness measures thereof in each assumed character directions; in sub image blocks in the assumed character directions with 180&#xb0; mutual relation, searching for a minimum matching pair of the sub image blocks; adjusting the sub image blocks in the searched minimum matching pair to eliminate the effect, on an identification result, of different numbers of sub image blocks in various assumed character directions; calculating an accumulative correctness measure in each assumed character directions based on the adjusted sub image blocks; and identifying the direction of characters in the image block according to the accumulative correctness measures.

Method of and device for identifying direction of characters in image block

The embodiments disclose a method of and a device for identifying direction of characters in image block. The method includes: performing optical character recognition processing on the image block by assuming various directions as assumed character directions to obtain sub image blocks, recognized characters and correctness measures in each assumed direction; in sub image blocks in the assumed directions with a 180&#xb0; mutual relation, searching for a minimum matching pair; when there is one sub image block in each assumed direction in a minimum matching pair and recognized characters belonging to the minimum matching pair are the same rotation invariant character or belong to the same rotation invariant character pair, adjusting their correctness measures to the same; calculating an accumulative correctness measure in each assumed direction based on the adjusted results; and identifying the direction of the characters in the image block according to the accumulative correctness measures.

The present embodiments disclose a method of and a device for identifying the direction of characters in an image block. The method includes: performing optical character recognition processing on the image block by assuming various directions as assumed character directions, respectively, to obtain sub image blocks, recognized characters corresponding to the sub image blocks and correctness measures thereof in each of the assumed character directions; determining a language group to which the characters in the image block belong; adjusting a correctness measure corresponding to a sub image block which corresponds to a recognized character not belonging to the determined language group in each of the assumed character directions; calculating an accumulative correctness measure in each of the assumed character directions based on the adjusted correctness measure; and identifying the direction of the characters in the image block according to the accumulative correctness measures.

An image processing method generally includes: obtaining a vanishing point on a curved surface in a two-dimension image; extracting all the straight line segments between a top contour line and a bottom contour line of the curved surface by the vanishing point; removing a perspective distortion to get parallel straight line segments; obtaining the lengths of the straight line segments, obtaining the true width of each of the straight line segments in a three-dimension space and the depth increment of the straight line segments according to the lengths; obtaining the expanded width of each straight line segment according to the true width and the depth increment; obtaining the total expanded width of the curved surface to transform it into a flat surface; transforming image contents on the curved surface onto the flat surface.

Image processing method, image processing device and scanner

Method and apparatus for processing an image including a character are disclosed. The method may include: searching in a set of characters one or more characters having highest similarities of shape to a character in the set of characters, hereinafter the character being referred to as a first character, the one or more searched characters forming a similar character list of the first character; searching in the set of characters one or more characters having highest similarities of shape to each character in the similar character list of the first character, to form a similar character list of each character in the similar character list of the first character; and selecting in the similar character lists one or more characters having a high mutual similarity between each other, as a character cluster.

Method and apparatus for processing an image comprising characters

Growing community of inventors

Kawasaki, Japan

Satoshi Naoi