Abstract: A handwritten area is separated from image data of printed material in which handwriting has been inserted, and the separated handwritten area is identified as an enclosing line or a class symbol. An image area enclosed within the handwritten area identified as the enclosing line is extracted and acquired as an extracted image. The class symbol is correlated to an enclosing line drawn nearest the class symbol, and the extracted images are classified into groups according to the image areas within the enclosing line correlated to the type of class symbols. The grouped images are organized as listed data.

Abstract: An image processing apparatus extracts a line segment included in an image, and includes a density gradient direction determining section that determines a direction, in which density changes, of each processing unit composed of a predetermined number of pixels of an image, and an line segment extracting section that regards a couple of processing units whose density gradient direction are opposite each other as a processing unit pair and extracts a processing unit group including a plurality of processing unit pairs allocated in a row in a direction perpendicular to the density gradient directions as a line segment.

Abstract: An image discrimination device discriminates among image attributes indicating image types. An edge calculating section calculates an edge direction in each processing unit including a predetermined number of pixels of an image. A local connectivity calculating section calculates local connectivity intensity indicating a degree of alignment with the edge direction of the surrounding processing unit in each of the processing units based on the calculated edge direction. An image attribute discrimination section discriminates among the image attributes in each attribute discrimination region including a predetermined number of processing units of the image using the local connectivity intensity of the processing unit in the attribute discrimination region.

Abstract: An image processing apparatus extracts a line segment included in an image, and includes a density gradient direction determining section that determines a direction, in which density changes, of each processing unit composed of a predetermined number of pixels of an image, and an line segment extracting section that regards a couple of processing units whose density gradient direction are opposite each other as a processing unit pair and extracts a processing unit group including a plurality of processing unit pairs allocated in a row in a direction perpendicular to the density gradient directions as a line segment.

Abstract: A handwritten area is separated from image data of printed material in which handwriting has been inserted, and the separated handwritten area is identified as an enclosing line or a class symbol. An image area enclosed within the handwritten area identified as the enclosing line is extracted and acquired as an extracted image. The class symbol is correlated to an enclosing line drawn nearest the class symbol, and the extracted images are classified into groups according to the image areas within the enclosing line correlated to the type of class symbols. The grouped images are organized as listed data.

Abstract: An image discrimination device discriminates among image attributes indicating image types. An edge calculating section calculates an edge direction in each processing unit including a predetermined number of pixels of an image. A local connectivity calculating section calculates local connectivity intensity indicating a degree of alignment with the edge direction of the surrounding processing unit in each of the processing units based on the calculated edge direction. An image attribute discrimination section discriminates among the image attributes in each attribute discrimination region including a predetermined number of processing units of the image using the local connectivity intensity of the processing unit in the attribute discrimination region.