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81.发明授权Robust method for automatic reading of skewed, rotated or partially obscured characters 有权用于自动读取偏斜，旋转或部分模糊字符的鲁棒方法公开(公告)号：US06735337B2
公开(公告)日：2004-05-11
申请号：US09775954
申请日：2001-02-02
申请人： Shih-Jong J. Lee , Louis Piloco
发明人： Shih-Jong J. Lee , Louis Piloco
IPC分类号： G06K934
CPC分类号： G06K9/325 , G06K9/6203 , G06K2209/01
摘要： A character reading technique recognizes character strings in grayscale images where characters within such strings have poor contrast, are variable in position or rotation with respect to other characters in the string, or where portions of characters in the string are partially obscured. The method improves classification accuracy by improving the robustness of the underlying correlation operation. Characters are divided into regions before performing correlations. Based upon the relative individual region results, region results are combined into a whole character result. Using the characters that are read, a running checksum is computed and, based upon the checksum result, characters are replaced to produce a valid result.
摘要翻译： 字符读取技术识别灰度图像中的字符串，其中这些字符串中的字符具有差的对比度，相对于字符串中的其他字符的位置或旋转可变，或者字符串中的字符部分被部分遮蔽。 该方法通过提高基础相关运算的鲁棒性来提高分类精度。 在执行相关性之前，人物被划分为区域。 根据相对个别区域的结果，将区域结果组合成一个整体字符的结果。 使用读取的字符，计算运行的校验和，并根据校验和结果替换字符以产生有效的结果。
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公开(公告)号：US5812692A
公开(公告)日：1998-09-22
申请号：US784316
申请日：1997-01-16
CPC分类号： G06K9/3216 , G06K9/00127
摘要： Coverslip detection locating all four coverslip edges. A field of view processor receives image data from a charge coupled device camera. The charge coupled device camera images a slide and coverslip that is mounted on a movable frame. The slide and coverslip are illuminated from below with a uniform light source. The moveable frame is under computer control and moves in response to the field of view processor. The field of view processor locates the coverslip by first positioning the movable frame to view a portion of the slide on a predetermined potion of the slide within a predetermined area of the slide. The slide is then re-imaged after the movable frame moves the slide toward a chosen edge of direction. Edge type objects are located and followed over multiple fields of view. If the edge object satisfies a set of predetermined criteria the coverslip edge has been found. The edge is extended to find all four corners of the coverslip. The edge objects are processed using morphological operators.
摘要翻译： 盖玻片检测定位四个盖玻片边缘。 视场处理器从电荷耦合器件相机接收图像数据。 电荷耦合器件相机对安装在可移动框架上的滑盖和盖玻片进行成像。 滑盖和盖玻片从下面用均匀的光源照射。 可移动框架在计算机控制下，并响应于视野处理器移动。 视野处理器通过首先定位可移动框架来定位盖玻片，以在幻灯片的预定区域内的幻灯片的预定部分上观看幻灯片的一部分。 然后，在可移动框架将滑块朝向选定的方向边缘移动之后，重新成像幻灯片。 边缘类型对象位于并遵循多个视野。 如果边缘对象满足一组预定标准，则已经找到盖玻片边缘。 边缘扩展到盖玻片的所有四个角落。 边缘物体使用形态运算符进行处理。
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公开(公告)号：US5757954A
公开(公告)日：1998-05-26
申请号：US309118
申请日：1994-09-20
IPC分类号： G06K9/00
CPC分类号： G06K9/00127
摘要： Field of views of a slide are examined to assess the likelihood of existence of detectable single cells, groups, and thick groups of cells to locate objects of interest by an automated microscope. The FOV features consists of features selected from the distribution profiles of size, shape, layout arrangement, texture and density of all objects within a FOV which are compared against pre-determined criteria. Each field of view is assigned a likelihood value based on FOV features. Areas that are blank, or contain air bubbles, or are too dense for analysis are identified and excluded for further analysis. Each FOV is ranked according to its likelihood of containing SIL (Squamous Intraepithelial Lesion) cells or cell groups of interest. These results, such as SIL, single cell ranking, group ranking are used to arrange the further examination of FOVs in a priority order.
摘要翻译： 检查幻灯片的视野以评估存在可检测的单细胞，组和厚组细胞的可能性，以通过自动显微镜来定位感兴趣的对象。 FOV特征包括从与预定标准进行比较的FOV内的所有对象的尺寸，形状，布局布置，纹理和密度的分布轮廓中选择的特征。 根据FOV特征为每个视野分配似然值。 识别和排除空白或含有气泡或太密集分析的区域进行进一步分析。 每个FOV根据其含有SIL（鳞状上皮内损伤）细胞或感兴趣的细胞群的可能性进行排序。 这些结果，如SIL，单细胞排名，群体排名用于以优先顺序安排FOV的进一步检查。
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84.发明授权Method and apparatus for continously monitoring and forecasting slide and specimen preparation for a biological specimen population 失效用于连续监测和预测生物样本群体的载玻片和标本制备的方法和装置
公开(公告)号：US5625706A
公开(公告)日：1997-04-29
申请号：US455296
申请日：1995-05-31
CPC分类号： G01N1/312 , G01N35/00594
摘要： An automated laboratory process monitoring method for a computer controlled automated cytology system initializes lab process assessment slide data so as to produce an initial batch of qualified slides. Monitor parameters are extracted from the initial batch of qualified slides so as to determine control limits. Field data is monitored by comparing the field data to the control limits.
摘要翻译： 用于计算机控制的自动细胞学系统的自动化实验室过程监测方法初始化实验室过程评估幻灯片数据，以便产生初始合格幻灯片。 从初始批次的幻灯片中提取监视器参数，以确定控制限制。 通过将现场数据与控制限制进行比较来监控现场数据。
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公开(公告)号：US09152884B2
公开(公告)日：2015-10-06
申请号：US13507115
申请日：2012-06-05
申请人： Shih-Jong J. Lee , Chi-Chou Huang
发明人： Shih-Jong J. Lee , Chi-Chou Huang
CPC分类号： G06K9/6256 , G06K9/0014 , G06K9/00147 , G06K9/62 , G06K9/6272
摘要： A computerized teachable pattern scoring method receives a teaching image and region pattern labels. A region segmentation is performed using the teaching image to generate regions of interest output. A feature measurement is performed using the teaching image and the regions of interest to generate region features output. A pattern score learning is performed using the region features and the region pattern labels to generate pattern score recipe output. A computerized region classification method using the region features and the pattern score recipe to generate pattern scores output. A region classification is performed using the pattern scores and region features to generate region class output.
摘要翻译： 计算机化教学模式评分方法接收教学图像和区域模式标签。 使用教学图像执行区域分割以产生感兴趣的区域输出。 使用教学图像和感兴趣区域来执行特征测量以产生区域特征输出。 使用区域特征和区域图案标签来执行图案分数学习以生成图案分数配方输出。 一种使用区域特征和模式分数配方的计算机化区域分类方法来生成模式分数输出。 使用模式分数和区域特征来执行区域分类以产生区域类别输出。
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公开(公告)号：US20140056504A1
公开(公告)日：2014-02-27
申请号：US13573136
申请日：2012-08-24
IPC分类号： G06K9/00
CPC分类号： G06T7/0081 , C12M41/36 , C12M41/48 , G01N33/5005 , G06K9/00127 , G06T7/0012 , G06T7/11 , G06T7/174 , G06T2207/30024
摘要： A computerized image guided biological cellular process progressive selection method receives at least one state cell image. A state cell region recognition is performed using the state cell image to generate state cell region output. A state cell measurement is performed using the state cell region to generate at least one state cell feature output. A state cell decision is performed using the state cell feature to generate state cell selection decision output. The selected cell is progressively selected in at least one follow-on states by its image guided state cell selection method. The method further includes at least one additional image acquired in a later frame of same state and state cell feature includes temporal features of growth patterns.
摘要翻译： 计算机图像引导的生物细胞过程逐行选择方法接收至少一个状态单元图像。 使用状态单元图像执行状态单元区域识别以生成状态单元区域输出。 使用状态单元区域执行状态单元测量以生成至少一个状态单元特征输出。 使用状态单元特征执行状态单元决定以产生状态单元选择决定输出。 所选择的单元通过其图像引导状态单元选择方法在至少一个后续状态中逐渐选择。 该方法还包括在相同状态和状态单元特征的后续帧中获取的至少一个附加图像包括增长模式的时间特征。
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公开(公告)号：US07580556B2
公开(公告)日：2009-08-25
申请号：US10767530
申请日：2004-01-26
申请人： Shih-Jong J. Lee , Tuan Phan
发明人： Shih-Jong J. Lee , Tuan Phan
CPC分类号： G06T7/60 , G06K9/0014 , G06K9/4638 , G06T7/11 , G06T7/155 , G06T7/187 , G06T2207/10056 , G06T2207/20012 , G06T2207/20041 , G06T2207/20044 , G06T2207/30024
摘要： A two pass Zone Of Influence (ZOI) creation method creates a Zone Of Influence (ZOI) image. The two pass ZOI creation method performs a first pass scan to create a first pass intermediate distance image and a shortest distance component label image. It then performs a second pass scan using the first pass intermediate distance image and the shortest distance component label image to create a background distance transform image and a updated shortest distance component label image. An adaptive image region partition method allows distance lengths of the two pass adaptive ZOI creation method depend on their associated component labels.
摘要翻译： 双程影响区（ZOI）创建方法创建一个影响区域（ZOI）图像。 双程ZOI创建方法执行第一遍扫描以创建第一遍中间距离图像和最短距离分量标签图像。 然后使用第一遍中间距离图像和最短距离分量标签图像执行第二遍扫描，以创建背景距离变换图像和更新的最短距离分量标签图像。 自适应图像区域分割方法允许双向自适应ZOI创建方法的距离长度取决于它们相关联的组件标签。
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公开(公告)号：US07116825B2
公开(公告)日：2006-10-03
申请号：US10104669
申请日：2002-03-22
申请人： Shih-Jong J. Lee , Chi-Chou Huang
发明人： Shih-Jong J. Lee , Chi-Chou Huang
IPC分类号： G06K9/68
CPC分类号： G06T7/0002 , G06K9/6282 , G06T7/62 , G06T7/66 , G06T2207/30164
摘要： A multilevel Chain-And-Tree model provides a framework for an image based decision system. The decision system enables separation of effects of defects within one component from other components within a common subject. The framework provides for linking of structure constraints of components of a common subject and for checking and resolving their consistency. The framework allows discrimination between subtle image changes and natural variations of the subject. The framework for standard data representation facilitates production process control.
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公开(公告)号：US07031948B2
公开(公告)日：2006-04-18
申请号：US09972057
申请日：2001-10-05
申请人： Shih-Jong J. Lee
发明人： Shih-Jong J. Lee
IPC分类号： G06F15/18
CPC分类号： G06K9/6282 , G05B13/028 , G06N5/025 , Y10S706/932
摘要： A regulation method for decision tree construction is described wherein decision rules can be automatically adjusted between crisp and soft decisions. Starting with a conventional decision tree, additional statistics are stored at the terminal and non-terminal nodes during training and used during application to new samples. The regulation process allows automatic determination of tree structure. It also allows incremental updating of a regulation decision tree with graceful change to classification performance characteristics. Compound regulation decision trees are described for use to update the decision structure when new training input samples include new classes. Methods for pruning regulation decision trees, for focusing regulation decision trees, for determining optimal depth and regulation parameters and for determining optimal sample weighting are taught.
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90.发明授权Robust method for automatic reading of skewed, rotated or partially obscured characters 有权用于自动读取偏斜，旋转或部分模糊字符的鲁棒方法公开(公告)号：US06856697B2
公开(公告)日：2005-02-15
申请号：US10750631
申请日：2003-12-29
申请人： Shih-Jong J. Lee , Piloco Louis
发明人： Shih-Jong J. Lee , Piloco Louis
CPC分类号： G06K9/325 , G06K9/6203 , G06K2209/01
摘要： A character reading technique recognizes character strings in grayscale images where characters within such strings have poor contrast, are variable in position or rotation with respect to other characters in the string, or where portions of characters in the string are partially obscured. The method improves classification accuracy by improving the robustness of the underlying correlation operation or the character design. Characters are divided into regions before performing correlations. Based upon the relative individual region results, region results are combined into a whole character result. Using the characters that are read, a running checksum is computed and, based upon the checksum result, characters are replaced to produce a valid result.
摘要翻译： 字符读取技术识别灰度图像中的字符串，其中这些字符串中的字符具有差的对比度，相对于字符串中的其他字符的位置或旋转可变，或者字符串中的字符部分被部分遮蔽。 该方法通过提高底层相关运算或字符设计的鲁棒性来提高分类精度。 在执行相关性之前，人物被划分为区域。 根据相对个别区域的结果，将区域结果组合成一个整体字符的结果。 使用读取的字符，计算运行的校验和，并根据校验和结果替换字符以产生有效的结果。
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