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11. 发明授权

US09031294B2 Region segmented image data creating system and feature extracting system for histopathological images 有权
标题翻译：区域分割图像数据创建系统和组织病理学图像的特征提取系统
公开(公告)号：US09031294B2
公开(公告)日：2015-05-12
申请号：US13807135
申请日：2011-07-22
申请人： Hirokazu Nosato , Hidenori Sakanashi , Masahiro Murakawa , Takumi Kobayashi , Tetsuya Higuchi , Nobuyuki Otsu
发明人： Hirokazu Nosato , Hidenori Sakanashi , Masahiro Murakawa , Takumi Kobayashi , Tetsuya Higuchi , Nobuyuki Otsu
IPC分类号： G06K9/00 , G06K9/46 , G06T7/00
CPC分类号： G06K9/4671 , G06K9/0014 , G06K9/56 , G06K9/6247 , G06K2009/4666 , G06T7/0012 , G06T7/11 , G06T7/194 , G06T2207/10024 , G06T2207/30024
摘要： A region segmented image data creating system for histopathological images is provided. The region segmented image data creating system is capable of creating region segmented image data required to generating a region segmented image. A first bi-level image data creating section 12 creates first bi-level image data, in which nucleus regions can be discriminated from other regions, from histopathological image data. A second bi-level image data creating section 14 creates second bi-level image data, in which a background regions can be discriminated from other regions, from the histopathological image data. A three-level image data creating section 15 clarifies cytoplasm regions by computing a negative logical addition of the first bi-level image data and the second bi-level image data, and to create three-level image data as the region segmented image data.
摘要翻译：提供了用于组织病理学图像的区域分割图像数据创建系统。区域分割图像数据创建系统能够创建产生区域分割图像所需的区域分割图像数据。第一双级图像数据创建部分12从组织病理学图像数据创建其中核区域可以与其他区域区分开的第一双层图像数据。第二双级图像数据创建部分14从组织病理学图像数据创建其中背景区域可以与其他区域区分开的第二双层图像数据。三级图像数据创建部分15通过计算第一双电平图像数据和第二双电平图像数据的负逻辑加法来澄清细胞质区域，并且创建三电平图像数据作为区域分割图像数据。

12. 发明申请

US20130094733A1 REGION SEGMENTED IMAGE DATA CREATING SYSTEM AND FEATURE EXTRACTING SYSTEM FOR HISTOPATHOLOGICAL IMAGES 有权
标题翻译：区域分割图像数据创建系统和特征提取系统用于组织病理学图像
公开(公告)号：US20130094733A1
公开(公告)日：2013-04-18
申请号：US13807135
申请日：2011-07-22
申请人： Hirokazu Nosato , Hidenori Sakanashi , Masahiro Murakawa , Takumi Kobayashi , Tetsuya Higuchi , Nobuyuki Otsu
发明人： Hirokazu Nosato , Hidenori Sakanashi , Masahiro Murakawa , Takumi Kobayashi , Tetsuya Higuchi , Nobuyuki Otsu
IPC分类号： G06K9/46
CPC分类号： G06K9/4671 , G06K9/0014 , G06K9/56 , G06K9/6247 , G06K2009/4666 , G06T7/0012 , G06T7/11 , G06T7/194 , G06T2207/10024 , G06T2207/30024
摘要： A region segmented image data creating system for histopathological images is provided. The region segmented image data creating system is capable of creating region segmented image data required to generating a region segmented image. A first bi-level image data creating section 12 creates first bi-level image data, in which nucleus regions can be discriminated from other regions, from histopathological image data. A second bi-level image data creating section 14 creates second bi-level image data, in which a background regions can be discriminated from other regions, from the histopathological image data. A three-level image data creating section 15 clarifies cytoplasm regions by computing a negative logical addition of the first bi-level image data and the second bi-level image data, and to create three-level image data as the region segmented image data.
摘要翻译：提供了用于组织病理学图像的区域分割图像数据创建系统。区域分割图像数据创建系统能够创建产生区域分割图像所需的区域分割图像数据。第一双级图像数据创建部分12从组织病理学图像数据创建其中核区域可以与其他区域区分开的第一双层图像数据。第二双级图像数据创建部分14从组织病理学图像数据创建其中背景区域可以与其他区域区分开的第二双层图像数据。三级图像数据创建部分15通过计算第一双电平图像数据和第二双电平图像数据的负逻辑加法来澄清细胞质区域，并且创建三电平图像数据作为区域分割图像数据。

13. 发明申请

US20110010319A1 CORRESPONDENCE LEARNING APPARATUS AND METHOD AND CORRESPONDENCE LEARNING PROGRAM, ANNOTATION APPARATUS AND METHOD AND ANNOTATION PROGRAM, AND RETRIEVAL APPARATUS AND METHOD AND RETRIEVAL PROGRAM 有权
标题翻译：相关学习方法和方法与相关学习方案，注意事项和方法与注意事项及检索方法及方法与检索方案
公开(公告)号：US20110010319A1
公开(公告)日：2011-01-13
申请号：US12733561
申请日：2008-09-12
申请人： Tatsuya Harada , Hideki Nakayama , Rie Matsumoto , Yasuo Kuniyoshi , Nobuyuki Otsu
发明人： Tatsuya Harada , Hideki Nakayama , Rie Matsumoto , Yasuo Kuniyoshi , Nobuyuki Otsu
IPC分类号： G06F15/18
CPC分类号： G06F17/30265 , G06F17/3069 , G06F17/30722 , G06K9/00664 , G06K9/4609 , G06K9/6232
摘要： An image data processing system has a learning storage apparatus that stores projection matrixes obtained by canonical correlation analysis so as to derive, based on at least one of an image feature and a word feature, a latent variable as an abstract concept used for associating an image with a word corresponding thereto and that further stores information required for obtaining the latent variable acquired by use of the projection matrixes, a probability of occurrence of an arbitrary image feature from a certain latent variable and a probability of occurrence of an arbitrary word feature from a certain latent variable. In this way, a probability of the image feature and word feature being simultaneously outputted can be easily and quickly determined, thereby executing a high-speed annotation or retrieval with high precision.
摘要翻译：图像数据处理系统具有学习存储装置，其存储通过规范相关分析获得的投影矩阵，以便基于图像特征和词特征中的至少一个导出潜变量作为用于关联图像的抽象概念并且进一步存储获得通过使用投影矩阵获得的潜在变量所需的信息，从某个潜在变量发生任意图像特征的概率和来自一个特定潜在变量的任意单词特征的发生概率某些潜在变量。以这种方式，可以容易且快速地确定图像特征和单词特征同时输出的概率，从而以高精度执行高速注释或检索。

14. 发明申请

US20100166259A1 OBJECT ENUMERATING APPARATUS AND OBJECT ENUMERATING METHOD 审中-公开
标题翻译：目标识别装置和对象识别方法
公开(公告)号：US20100166259A1
公开(公告)日：2010-07-01
申请号：US12377734
申请日：2007-08-15
申请人： Nobuyuki Otsu , Yasuyuki Shimohata
发明人： Nobuyuki Otsu , Yasuyuki Shimohata
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06K9/4609
摘要： An object enumerating apparatus comprises means for generating and binarizing inter-frame differential data from moving image data representative of a photographed object under detection, means for extracting feature data from a plurality of the inter-frame binary differential data directly adjacent to each other on a pixel-by-pixel basis through cubic higher-order local auto-correlation, means for calculating a coefficient of each factor vector from a factor matrix comprised of a plurality of factor vectors previously generated through learning using a factor analysis and arranged for one object under detection, and the feature data, and means for adding a plurality of the coefficients for one object under detection, and rounding off the sum to the decimal point to the closest integer representative of a quantity. By courtesy of small fluctuations in the sum of coefficients and accurate matching with the quantity of objects intended for recognition, a recognition can be accomplished with robustness to differences in scale and speed of objects and to dynamic changes thereof.
摘要翻译：一种物体枚举装置，包括用于从代表被检测物体的运动图像数据生成和二值化帧间差分数据的装置，用于从一个或多个直接相邻的多个帧间二进制差分数据中提取特征数据的装置通过立方高阶局部自相关逐像素地基于由先前通过使用因子分析通过学习产生的多个因子矢量的因子矩阵来计算每个因子矢量的系数的装置，并且被布置在一个对象下检测和特征数据，以及用于添加用于检测到的一个对象的多个系数的装置，以及将小数点的和舍入到表示量的最接近的整数。通过系数总和与用于识别的物体的数量的精确匹配的小波动，可以通过对物体的尺度和速度的差异及其动态变化的鲁棒性来实现识别。

15. 发明申请

US20080187172A1 Tracking Apparatus And Tracking Method 失效
标题翻译：跟踪装置和跟踪方法
公开(公告)号：US20080187172A1
公开(公告)日：2008-08-07
申请号：US11792084
申请日：2005-12-09
申请人： Nobuyuki Otsu , Masaaki Kawai
发明人： Nobuyuki Otsu , Masaaki Kawai
IPC分类号： G06K9/00
CPC分类号： G06K9/32 , G06K2009/3291 , G06T7/20
摘要： A tracing device and a tracing method for realizing a real-time trace of a moving object such as a person from a time-varying image by method of a light processing load, and for learning features through the trace thereby to realize a trace of higher precision. The tracing device divides time-varying data inputted into partial images (in a strip or rectangle shape), and compares the background image containing no tracing object thereby with the current image thereby to extract the divided image having the tracing object. In order to discriminate the tracing object, moreover, the tracing device calculates the color high-level local self-correlated data, from which the features of color and shape can be extracted all at once, and performs the discrimination on the basis of a distance from the featuring data of the tracing object registered. The tracing device updates the background image and the registered featuring data into the latest ones. The features are acquired while tracing the tracing object, and the object is discriminated by utilizing the features so that a strong and highly precise trace can be realized.
摘要翻译：一种跟踪装置和跟踪方法，用于通过光处理负载的方法实现来自时变图像的人的移动物体的实时轨迹，并且通过轨迹学习特征，从而实现更高的轨迹精确。跟踪装置将输入的部分图像（条形或矩形）中的时变数据分割，并将不含跟踪对象的背景图像与当前图像进行比较，从而提取具有跟踪对象的分割图像。此外，为了区分跟踪对象，跟踪装置计算出可以一次性提取颜色和形状的特征的颜色高级局部自相关数据，并且基于距离进行鉴别从跟踪对象的特征数据注册。跟踪设备将背景图像和已注册的特征数据更新为最新的。在跟踪跟踪对象时获取特征，并且通过利用特征来区分对象，从而可以实现强烈和高精度的跟踪。

16. 发明授权

US4288779A Method and apparatus for character reading 失效
标题翻译：字符阅读的方法和装置
公开(公告)号：US4288779A
公开(公告)日：1981-09-08
申请号：US54704
申请日：1979-07-05
申请人： Nobuyuki Otsu , Shunji Mori , Taiichi Saito
发明人： Nobuyuki Otsu , Shunji Mori , Taiichi Saito
IPC分类号： G06K9/62 , G06K9/03 , G06K9/50 , G06K9/80 , G06T7/00 , G06K9/68
CPC分类号： G06K9/80
摘要： A method for character reading requiring no character segmentation, which method effects required character recognition by the steps of subjecting a given string of character patterns to continuous scanning to produce either a local feature vector at each of the intersections of rows and columns of character patterns or a global feature vector for each of the columns formed in consequence of the scanning, linearly consolidating either or both of the feature vectors to obtain a lower dimensional vector in new feature axes and continuously matching the vectors with the standard ones set in advance.
摘要翻译：一种不需要字符分割的字符读取方法，该方法通过以下步骤来影响所需的字符识别：将给定字符串的字符图案进行连续扫描，以在字符图案的行和列的每个交叉处产生局部特征向量，或用于由扫描结果形成的每个列的全局特征向量，线性地合并特征向量中的一个或两者以获得新特征轴中的较低维度向量，并且将向量与预先设置的标准连续匹配。

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