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    • 1. 发明授权
    • Boundary detection method between areas having different features in image data
    • 图像数据中具有不同特征的区域之间的边界检测方法
    • US07539344B2
    • 2009-05-26
    • US10728906
    • 2003-12-08
    • Shinichi EguchiNaoko SuzukiYutaka KatsumataKouichi Kanamoto
    • Shinichi EguchiNaoko SuzukiYutaka KatsumataKouichi Kanamoto
    • G06K9/48G06K9/36
    • G06K9/4604G06K2209/01G06T7/12G06T7/168G06T2207/10008G06T2207/20056G06T2207/30176
    • An image processing device includes a feature emphasis unit for extracting first image frequency information from image data for each first unit area, a boundary provisional determination unit for defining a value obtained by adding a predetermined weight to the first image frequency information as representative feature information, and provisionally determining as a boundary a first unit area whose variance from the representative feature information of the adjacent area is at or higher than a predetermined level, and a boundary determination unit for extracting the second image frequency information for each second unit area smaller than the first unit area in the range of a provisionally determined position and the vicinity, and generating boundary information using as the boundary a second unit area whose value based on the variance from the second image frequency information of the adjacent area is at or higher than a predetermined level.
    • 图像处理装置包括:特征强调单元,用于从每个第一单位区域的图像数据中提取第一图像频率信息;边界临时确定单元,用于定义通过将作为代表性特征信息的第一图像频率信息添加预定权重而获得的值, 并且临时确定与相邻区域的代表性特征信息的差异在等于或高于预定水平的第一单位区域的边界;以及边界确定单元,用于提取对于小于预定水平的每个第二单位区域的第二图像频率信息 在临时确定位置的范围内的第一单位区域和附近,并且使用基于与相邻区域的第二图像频率信息的差异的值等于或高于预定的第二单位区域的边界来生成边界信息 水平。
    • 2. 发明授权
    • Boundary extracting method, program, and device using the same
    • 边界提取方法,程序和设备使用相同
    • US07729536B2
    • 2010-06-01
    • US10958231
    • 2004-10-06
    • Shinichi EguchiNaoko SuzukiYutaka KatsumataKouichi Kanamoto
    • Shinichi EguchiNaoko SuzukiYutaka KatsumataKouichi Kanamoto
    • G06K9/34G06K9/00
    • G06K9/00449G06K9/32
    • An edge detecting method detects edge segments by searching all of the search lines forming an image from an end of the image in a direction perpendicular to the edges. If a line whose edge segment cannot be detected exists, a search is made in all of the search lines from the vicinity of the center of the image toward the end of the image, whereby edge segments are detected. A linear edge is determined from edge segments. A plurality of edge candidates are obtained from the edge segments for all of the search lines, and an optimum candidate is selected from among the edge candidates. Ruled lines are extracted from the source document in the image, and an optimum candidate is selected based on a comparison with a ruled line. As a result, an edge of the source document can be detected with high accuracy even if an image on a background side is unstable, or if materials of the background and the source document are similar.
    • 边缘检测方法通过从垂直于边缘的方向从图像的结尾搜索形成图像的所有搜索线来检测边缘片段。 如果存在不能检测其边缘段的线,则在从图像的中心附近到图像的结尾的所有搜索线中进行搜索,从而检测边缘片段。 从边缘段确定线性边。 从所有搜索线的边缘片段获得多个边缘候选,并且从边缘候选中选择最佳候选。 从图像中的源文档中提取标准线,并且基于与格线的比较来选择最佳候选。 结果,即使背景侧的图像不稳定,或者背景和源文档的材料相似,也可以高精度地检测源文档的边缘。
    • 3. 发明申请
    • Character recognition method
    • 字符识别方法
    • US20050201620A1
    • 2005-09-15
    • US10912234
    • 2004-08-06
    • Kouichi KanamotoYutaka KatsumataShinichi Eguchi
    • Kouichi KanamotoYutaka KatsumataShinichi Eguchi
    • G06K9/58G06K9/00G06K9/20G06K9/34G06T7/00G06T7/40G06K9/18
    • G06K9/346G06K9/2018G06K2209/01G06K2209/015
    • The present invention is a character recognition apparatus, which comprises a background discriminating section, a non-character line discriminating section, a first non-character line removed image creating section that creates a first non-character line removed image, which is an original image from which the non-character line is removed, a first character area discriminating section, an enlarged image creating section, a second non-character line removed image creating section, an interference judgment section that judges whether or not the character and the non-character line interfere with each other in the original image, a character image restoring section that restores the character image, a second character area discriminating section, and a character recognizing section that digitizes the character area recognized by the second character area discriminating section and recognizes the character, thereby characters written on a color form are recognized at a high accuracy.
    • 本发明是一种字符识别装置,它包括背景识别部分,非字符行识别部分,第一非字符行删除图像创建部分,其创建作为原始图像的第一非字符行删除图像 去除非字符行的第一字符区域识别部分,放大图像创建部分,第二非字符行删除图像创建部分,干扰判断部分,判断字符和非字符 在原始图像中彼此干扰,恢复字符图像的字符图像恢复部分,第二字符区域识别部分和字符识别部分,其对由第二字符区域识别部分识别的字符区域进行数字化并识别字符 从而以高精度识别以彩色形式写入的字符。
    • 4. 发明申请
    • Color image compressing method and device
    • 彩色图像压缩方法和装置
    • US20050100212A1
    • 2005-05-12
    • US10881524
    • 2004-07-01
    • Shinichi EguchiKouichi KanamotoNaoko SuzukiYutaka Katsumata
    • Shinichi EguchiKouichi KanamotoNaoko SuzukiYutaka Katsumata
    • G06T9/00G06K9/20G06K9/34G06K9/36G06T7/00H04N1/40H04N1/41H04N1/46H04N1/56H04N1/60H04N1/64H04N7/24H04N19/00
    • H04N1/642G06K9/00456
    • It is an object of the present invention to improve the compression ratio of a color image and to clearly display the outlines of characters and the like. A hue cluster classifying/unifying unit reduces the number of hue values of each pixel in a color image, based on a hue histogram, allocates the number-reduced hue value to each pixel and classifies pixels with the same hue value into one cluster. Furthermore, the unit unifies clusters whose hue values are below a predetermined value. The unit also traces the outline of a cluster whose size is below a reference value and determines that a cluster that has a lot of change points belongs to a character area. An encoding unit determines the characteristic of each cluster, based on both an area determined by an area determining unit and whether the cluster belongs to a ruled line area or a character area, and encodes pixels in each cluster by a coding method suitable for the characteristic of the cluster.
    • 本发明的目的是提高彩色图像的压缩率,并且清楚地显示字符等的轮廓。 色相聚类分类/统一单元基于色调直方图减少彩色图像中每个像素的色调值的数量,为每个像素分配减少数量的色调值,并将具有相同色调值的像素分类为一个簇。 此外,单元将其色调值低于预定值的集群进行统一。 该单元还跟踪大小低于参考值的集群的轮廓,并确定具有大量变化点的集群属于字符区域。 编码单元基于由区域确定单元确定的区域以及群集是否属于划线区域或字符区域来确定每个群集的特征,并且通过适合于特征的编码方法对每个群集中的像素进行编码 的集群。
    • 7. 发明授权
    • Color image compressing method and device
    • 彩色图像压缩方法和装置
    • US07729025B2
    • 2010-06-01
    • US10881524
    • 2004-07-01
    • Shinichi EguchiKouichi KanamotoNaoko SuzukiYutaka Katsumata
    • Shinichi EguchiKouichi KanamotoNaoko SuzukiYutaka Katsumata
    • H04N1/46H04N1/60G06F15/00G06K1/00
    • H04N1/642G06K9/00456
    • It is an object of the present invention to improve the compression ratio of a color image and to clearly display the outlines of characters and the like. A hue cluster classifying/unifying unit reduces the number of hue values of each pixel in a color image, based on a hue histogram, allocates the number-reduced hue value to each pixel and classifies pixels with the same hue value into one cluster. Furthermore, the unit unifies clusters whose hue values are below a predetermined value. The unit also traces the outline of a cluster whose size is below a reference value and determines that a cluster that has a lot of change points belongs to a character area. An encoding unit determines the characteristic of each cluster, based on both an area determined by an area determining unit and whether the cluster belongs to a ruled line area or a character area, and encodes pixels in each cluster by a coding method suitable for the characteristic of the cluster.
    • 本发明的目的是提高彩色图像的压缩率,并且清楚地显示字符等的轮廓。 色相聚类分类/统一单元基于色调直方图减少彩色图像中每个像素的色调值的数量,为每个像素分配减少数量的色调值,并将具有相同色调值的像素分类为一个簇。 此外,单元将其色调值低于预定值的集群进行统一。 该单元还跟踪大小低于参考值的集群的轮廓,并确定具有大量变化点的集群属于字符区域。 编码单元基于由区域确定单元确定的区域以及群集是否属于划线区域或字符区域来确定每个群集的特征,并且通过适合于特征的编码方法对每个群集中的像素进行编码 的集群。
    • 8. 发明授权
    • Character recognition method
    • 字符识别方法
    • US07324692B2
    • 2008-01-29
    • US10912234
    • 2004-08-06
    • Kouichi KanamotoYutaka KatsumataShinichi Eguchi
    • Kouichi KanamotoYutaka KatsumataShinichi Eguchi
    • G06K9/20
    • G06K9/346G06K9/2018G06K2209/01G06K2209/015
    • The present invention is a character recognition apparatus, which comprises a background discriminating section, a non-character line discriminating section, a first non-character line removed image creating section that creates a first non-character line removed image, which is an original image from which the non-character line is removed, a first character area discriminating section, an enlarged image creating section, a second non-character line removed image creating section, an interference judgment section that judges whether or not the character and the non-character line interfere with each other in the original image, a character image restoring section that restores the character image, a second character area discriminating section, and a character recognizing section that digitizes the character area recognized by the second character area discriminating section and recognizes the character, thereby characters written on a color form are recognized at a high accuracy.
    • 本发明是一种字符识别装置,它包括背景识别部分,非字符行识别部分,第一非字符行删除图像创建部分,其创建作为原始图像的第一非字符行删除图像 去除非字符行的第一字符区域识别部分,放大图像创建部分,第二非字符行删除图像创建部分,干扰判断部分,判断字符和非字符 在原始图像中彼此干扰,恢复字符图像的字符图像恢复部分,第二字符区域识别部分和字符识别部分,其对由第二字符区域识别部分识别的字符区域进行数字化并识别字符 从而以高精度识别以彩色形式写入的字符。
    • 9. 发明申请
    • Boundary extracting method, program, and device using the same
    • 边界提取方法,程序和设备使用相同
    • US20050226510A1
    • 2005-10-13
    • US10958231
    • 2004-10-06
    • Shinichi EguchiNaoko SuzukiYutaka KatsumataKouichi Kanamoto
    • Shinichi EguchiNaoko SuzukiYutaka KatsumataKouichi Kanamoto
    • G06K9/20G06K9/32G06T1/00G06T7/60H04N1/00H04N1/04H04N1/40G06K9/34G06K1/00
    • G06K9/00449G06K9/32
    • An edge detecting method detects edge segments by searching all of the search lines forming an image from an end of the image in a direction perpendicular to the edges. If a line whose edge segment cannot be detected exists, a search is made in all of the search lines from the vicinity of the center of the image toward the end of the image, whereby edge segments are detected. A linear edge is determined from edge segments. A plurality of edge candidates are obtained from the edge segments for all of the search lines, and an optimum candidate is selected from among the edge candidates. Ruled lines are extracted from the source document in the image, and an optimum candidate is selected based on a comparison with a ruled line. As a result, an edge of the source document can be detected with high accuracy even if an image on a background side is unstable, or if materials of the background and the source document are similar.
    • 边缘检测方法通过从垂直于边缘的方向从图像的结尾搜索形成图像的所有搜索线来检测边缘片段。 如果存在不能检测其边缘段的线,则在从图像的中心附近到图像的结尾的所有搜索线中进行搜索,从而检测边缘片段。 从边缘段确定线性边。 从所有搜索线的边缘片段获得多个边缘候选,并且从边缘候选中选择最佳候选。 从图像中的源文档中提取标准线,并且基于与格线的比较来选择最佳候选。 结果,即使背景侧的图像不稳定,或者背景和源文档的材料相似,也可以高精度地检测源文档的边缘。