-
1.发明授权Document image compression method and its application in document authentication 有权文档图像压缩方法及其在文档认证中的应用公开(公告)号：US09542752B2
公开(公告)日：2017-01-10
申请号：US14951701
申请日：2015-11-25
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Yibin Tian , Wei Ming
CPC classification number: G06T7/11 , G06K9/00456 , G06K9/00577 , G06K9/18 , G06K9/342 , G06K9/6201 , G06K9/6202 , G06K9/6255 , G06K2209/01 , G06T2207/10004 , G06T2207/30176 , G07D7/004 , G07D7/0043 , G07D7/20 , G07D7/2033 , G07D7/2041 , G07D7/206 , G07D7/2083 , H04N1/40062
Abstract: A method for compressing a bi-level document image containing text is disclosed. The document image is segmented into symbol images each representing a letter, numeral, etc. in the document. The symbol images are classified into a plurality of classes, each class being associated with a template image and a class index. Classification is done by comparing each symbol to be classified with template of existing classes, using a number of image features including zoning profiles, side profiles, topology statistics, and low-order image moments. These image features are compared using a tolerance based method to determine whether the symbol matches the template. After classification, certain classes that have few symbols classified into them may be merged with other classes. In addition, the template images of the classes are down-sampled, where the final sizes of the template images are dependent on the likelihood of confusion of the template with other templates.
Abstract translation: 公开了一种用于压缩包含文本的双层文档图像的方法。 文档图像被分割成符号图像，每个表示文档中的字母，数字等。 符号图像被分类为多个类，每个类与模板图像和类索引相关联。 通过使用许多图像特征（包括分区轮廓，侧面轮廓，拓扑统计和低阶图像力矩）将每个要分类的符号与现有类别的模板进行比较来进行分类。 使用基于公差的方法比较这些图像特征以确定符号是否与模板匹配。 分类后，分类为其中几个符号的某些类可能会与其他类合并。 此外，类的模板图像被采样，其中模板图像的最终尺寸取决于模板与其他模板混淆的可能性。
-
2.发明授权公开(公告)号：US09251568B1
公开(公告)日：2016-02-02
申请号：US14473907
申请日：2014-08-29
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Yibin Tian
CPC classification number: G06K9/44
Abstract: In a document image enhancement method, text character strokes are enhanced in a way such that areas closer to the center (skeleton) of each stroke are enhanced (e.g. made darker) by greater amounts than areas farther away from the center. Each text or line region of the input image is first binarized to generate a binary image containing connected components corresponding to character strokes and lines. Multiple levels of pseudo-skeletons are computed for each connected component, for example by using successive thinning. Multiple pseudo-skeleton difference areas, i.e. differences between successive levels of pseudo-skeletons, are generated. Pixels located in different pseudo-skeleton difference areas are enhanced by different amounts, by applying different inverse-degradation functions. Graphical regions of the input image may be treated with edge enhancement.
Abstract translation: 在文件图像增强方法中，文本字符笔画被增强，使得更靠近每个笔划的中心（骨架）的区域比距离中心更远的区域增加（例如，变暗）。 输入图像的每个文本或行区域首先被二值化以生成包含与字符笔画和行相对应的连接成分的二进制图像。 为每个连接的组件计算多个级别的伪骨骼，例如通过使用连续的细化。 产生多个伪骨骼差异区域，即伪骨骼的连续水平之间的差异。 通过应用不同的逆降解功能，位于不同伪骨架差异区域中的像素被不同的量增强。 可以用边缘增强处理输入图像的图形区域。
-
3.发明授权Four dimensional (4D) color barcode for high capacity data encoding and decoding 有权用于大容量数据编码和解码的四维（4D）彩条公开(公告)号：US09111161B2
公开(公告)日：2015-08-18
申请号：US14539946
申请日：2014-11-12
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Wei Ming , Yibin Tian
CPC classification number: G06K1/123 , G06K7/10712 , G06K19/06037 , G06K19/0614 , G06K2019/06225
Abstract: A method for encoding and decoding color barcodes to increase their data capacity. The encoding steps include determining a shape, a foreground color and a background color for each data cell, wherein a combination of the shape, foreground and background colors for the data cell is chosen from a plurality of such combinations in accordance with a value of the digital data to be encoded; and coloring some pixels in the data cell with a foreground color and other pixels with a background color, in accordance with the shape, foreground and background colors for the data cell determined above. The decoding steps include segmenting the data cells, recognizing a shape, a foreground color of the shape and a background color of the data cell, and obtaining digital data from a combination of the shape and foreground and background colors in each data cell.
Abstract translation: 一种用于对颜色条形码进行编码和解码以增加其数据容量的方法。 所述编码步骤包括确定每个数据单元的形状，前景色和背景颜色，其中根据所述数据单元的值从多个这样的组合中选择数据单元的形状，前景和背景颜色的组合 要编码的数字数据; 并且根据上面确定的数据单元的形状，前景和背景颜色，用前景色和具有背景颜色的其他像素在数据单元中着色一些像素。 解码步骤包括分割数据单元，识别形状，形状的前景色和数据单元的背景颜色，以及从每个数据单元中的形状和前景以及背景颜色的组合获得数字数据。
-
Patent Agency Ranking
公开(公告)号：US10037708B2
公开(公告)日：2018-07-31
申请号：US14230577
申请日：2014-03-31
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Wei Ming , Yibin Tian
IPC: G09B7/00
CPC classification number: G09B7/00
Abstract: A method, a computer program product, and a system for analyzing exam-taking behavior and improving exam-taking skills are disclosed, the method includes obtaining a student answering sequence and timing to an examination having a series of questions; comparing the student answering sequence and timing with results from a statistic analysis of the examination obtained from a plurality of students; and identifying an abnormality in the student answering sequence and timing according to the comparison.
-
5.发明申请DOCUMENT IMAGE COMPRESSION METHOD AND ITS APPLICATION IN DOCUMENT AUTHENTICATION 审中-公开文件图像压缩方法及其在文件认证中的应用公开(公告)号：US20160078632A1
公开(公告)日：2016-03-17
申请号：US14951701
申请日：2015-11-25
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Yibin Tian , Wei Ming
CPC classification number: G06T7/11 , G06K9/00456 , G06K9/00577 , G06K9/18 , G06K9/342 , G06K9/6201 , G06K9/6202 , G06K9/6255 , G06K2209/01 , G06T2207/10004 , G06T2207/30176 , G07D7/004 , G07D7/0043 , G07D7/20 , G07D7/2033 , G07D7/2041 , G07D7/206 , G07D7/2083 , H04N1/40062
Abstract: A method for compressing a bi-level document image containing text is disclosed. The document image is segmented into symbol images each representing a letter, numeral, etc. in the document. The symbol images are classified into a plurality of classes, each class being associated with a template image and a class index. Classification is done by comparing each symbol to be classified with template of existing classes, using a number of image features including zoning profiles, side profiles, topology statistics, and low-order image moments. These image features are compared using a tolerance based method to determine whether the symbol matches the template. After classification, certain classes that have few symbols classified into them may be merged with other classes. In addition, the template images of the classes are down-sampled, where the final sizes of the template images are dependent on the likelihood of confusion of the template with other templates.
Abstract translation: 公开了一种用于压缩包含文本的双层文档图像的方法。 文档图像被分割成符号图像，每个表示文档中的字母，数字等。 符号图像被分类为多个类，每个类与模板图像和类索引相关联。 通过使用许多图像特征（包括分区轮廓，侧面轮廓，拓扑统计和低阶图像力矩）将每个要分类的符号与现有类别的模板进行比较来进行分类。 使用基于公差的方法比较这些图像特征以确定符号是否与模板匹配。 分类后，分类为其中几个符号的某些类可能会与其他类合并。 此外，类的模板图像被采样，其中模板图像的最终尺寸取决于模板与其他模板混淆的可能性。
-
6.发明授权公开(公告)号：US09042649B2
公开(公告)日：2015-05-26
申请号：US14035855
申请日：2013-09-24
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Yibin Tian
Abstract: A method for separating foreground and background contents in a document image is provided. The method first computes a pixel-wise map of maximal local features (e.g., local variance, local contrast, etc.), which is binarized to generate a mask for potential foreground. In order to utilize color information effectively, the local feature map is computed using all color channels of the image. Then the background image is obtained by inpainting the mask regions from the non-mask regions of the original document image. Adaptive thresholding is applied to the difference between the original document image and the background image to obtain the binary foreground image. Post-processing of the binary foreground image can further remove undesirable elements. Finally, a more accurate background image can be obtained by inpainting the original document image using the binary foreground image as a mask.
Abstract translation: 提供了一种用于分离文档图像中的前景和背景内容的方法。 该方法首先计算最大局部特征（例如，局部方差，局部对比度等）的像素方向图，其被二值化以产生潜在前景的掩码。 为了有效地利用颜色信息，使用图像的所有颜色通道来计算局部特征图。 然后通过从原始文档图像的非掩模区域中对掩模区域进行印刷而获得背景图像。 自适应阈值处理应用于原始文档图像和背景图像之间的差异，以获得二进制前景图像。 二进制前景图像的后处理可以进一步消除不期望的元素。 最后，使用二进制前景图像作为掩码，可以获得更准确的背景图像。
-
公开(公告)号：US10013889B2
公开(公告)日：2018-07-03
申请号：US14230949
申请日：2014-03-31
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Yibin Tian , Wei Ming
Abstract: A method, computer program product, and a system for enhancing an interaction between a teacher and a student are disclosed, the method includes receiving video images of a region of interest from a plurality of multi-functional devices; comparing the video images of the region of interest received from the plurality of multi-functional devices; detecting differences in the region of interest of at least one multi-functional device in comparison to the region of interest of the plurality of multi-functional devices; and providing a signal to the at least one multi-functional device based on the detected difference in the region of interest.
-
公开(公告)号：US09251614B1
公开(公告)日：2016-02-02
申请号：US14473913
申请日：2014-08-29
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Yibin Tian
CPC classification number: G06K9/4604 , G06K9/00456 , G06K9/38 , G06T7/11 , G06T7/12 , G06T7/136
Abstract: A simple, fast, and effective method is provided for background removal for document images with dark text over relatively uniform or slow-varying non-white background. Candidate regions for background removal are first identified by binarizing the input gray-scale image using a global threshold very close to white. Large contours in the binarized image are identified as candidate regions. A histogram analysis is applied to preliminarily identify regions containing graphics, which are excluded from further processing. The remaining candidate regions are individually binarized. The binarized regions are analyzed to determine whether they contain graphics or text/table, by examining their geometric characteristics and statistics of connected components within them. For candidate regions determined to contain text or tables, background pixels in the input image are set to white using a mask which is the inverse of the individually binarized images of the regions. Regions that contain graphics are left unchanged.
Abstract translation: 提供了一种简单，快速和有效的方法，用于通过相对均匀或慢变非非白色背景的文本图像进行背景去除。 用于背景去除的候选区域首先通过使用非常接近于白色的全局阈值二进制输入灰度图像来识别。 二值化图像中的大轮廓被识别为候选区域。 应用直方图分析来初步识别含有图形的区域，这些区域被排除在进一步处理之外。 剩余的候选区域被单独二值化。 分析二进制化区域以确定它们是否包含图形或文本/表格，通过检查其几何特征和其内部连接的组件的统计数据。 对于确定为包含文本或表格的候选区域，使用与区域的单独二进制化的图像相反的掩码将输入图像中的背景像素设置为白色。 包含图形的区域保持不变。
-
-
-
-
-
-
-
Search Results
8
records
(took 0.014 seconds)
