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1. 发明授权

US07849024B2 Imaging system for producing recipes using an integrated human-computer interface (HCI) for image recognition, and learning algorithms 有权
标题翻译：用于使用用于图像识别的集成人机界面（HCI）和学习算法来生成食谱的成像系统
公开(公告)号：US07849024B2
公开(公告)日：2010-12-07
申请号：US11506081
申请日：2006-08-16
申请人： Shih-Jong J. Lee , Samuel V. Alworth , Tuan Phan , Chi Chou Huang , Christopher Birnbaum
发明人： Shih-Jong J. Lee , Samuel V. Alworth , Tuan Phan , Chi Chou Huang , Christopher Birnbaum
IPC分类号： G06F15/18
CPC分类号： G06T5/00 , G06T7/00 , G06T2200/24 , G06T2207/30004
摘要： A Recognition Frame presents multi-level application elements to the user simultaneously through a computer graphical user interface. The interface consists of an image display panel for displaying image channels; a data display panel for displaying object measurements and summary statistics; a configuration display panel for displaying recipe content; a master tab for selecting the panels. It also consists of a processing toolbar for context dependent processing tool display. The Recognition Frame further comprises a second side frame for data object display and charting. The second side frame has a tabular arrangement consisting of properties tab, controls tab, and charts tab. The Recognition Frame links application elements through a complex data model wherein interface display is automatically updated when one element is changed.
摘要翻译：识别框架通过计算机图形用户界面同时向用户提供多层应用程序元素。该接口包括用于显示图像通道的图像显示面板; 用于显示物体测量和总结统计数据的数据显示面板; 用于显示配方内容的配置显示面板; 用于选择面板的主选项卡。它还包括用于上下文相关处理工具显示的处理工具栏。识别框架还包括用于数据对象显示和制图的第二侧框架。第二侧框架具有由属性选项卡，控件选项卡和图表选项卡组成的表格布置。识别框架通过复杂数据模型来链接应用元素，其中当一个元素被改变时，自动更新界面显示。

2. 发明申请

US20080044084A1 Integrated human-computer interface for image recognition 有权
标题翻译：集成人机界面，用于图像识别
公开(公告)号：US20080044084A1
公开(公告)日：2008-02-21
申请号：US11506081
申请日：2006-08-16
申请人： Shih-Jong J. Lee , Samuel V. Alworth , Tuan Phan , Chi Chou Huang , Christopher Birnbaum
发明人： Shih-Jong J. Lee , Samuel V. Alworth , Tuan Phan , Chi Chou Huang , Christopher Birnbaum
IPC分类号： G06K9/46
CPC分类号： G06T5/00 , G06T7/00 , G06T2200/24 , G06T2207/30004
摘要： A Recognition Frame presents multi-level application elements to the user simultaneously through a computer graphical user interface. The interface consists of an image display panel for displaying image channels; a data display panel for displaying object measurements and summary statistics; a configuration display panel for displaying recipe content; a master tab for selecting the panels. It also consists of a processing toolbar for context dependent processing tool display. The Recognition Frame further comprises a second side frame for data object display and charting. The second side frame has a tabular arrangement consisting of properties tab, controls tab, and charts tab. The Recognition Frame links application elements through a complex data model wherein interface display is automatically updated when one element is changed.
摘要翻译：识别框架通过计算机图形用户界面同时向用户提供多层应用程序元素。该接口包括用于显示图像通道的图像显示面板; 用于显示物体测量和总结统计数据的数据显示面板; 用于显示配方内容的配置显示面板; 用于选择面板的主选项卡。它还包括用于上下文相关处理工具显示的处理工具栏。识别框架还包括用于数据对象显示和制图的第二侧框架。第二侧框架具有由属性选项卡，控件选项卡和图表选项卡组成的表格布置。识别框架通过复杂数据模型来链接应用元素，其中当一个元素被改变时，自动更新界面显示。

3. 发明授权

US07813580B2 Method for adaptive image region partition and morphologic processing 有权
标题翻译：自适应图像区域分割和形态处理方法
公开(公告)号：US07813580B2
公开(公告)日：2010-10-12
申请号：US11973055
申请日：2007-10-04
申请人： Shih-Jong J. Lee , Tuan Phan
发明人： Shih-Jong J. Lee , Tuan Phan
IPC分类号： G06K9/42 , G06K9/44
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： An adaptive dilation method receives an image and performs an adaptive background distance transform to create an adaptive background distance transform image. A threshold is applied to the adaptive background distance transform image to generate adaptive dilation image output. An adaptive erosion method receives an image and performs an adaptive foreground distance transform to create an adaptive foreground distance transform image. A threshold is applied to the adaptive foreground distance transform image to generate adaptive erosion image output.
摘要翻译：自适应扩张方法接收图像并执行自适应背景距离变换以创建自适应背景距离变换图像。将阈值应用于自适应背景距离变换图像以产生自适应扩张图像输出。自适应侵蚀方法接收图像并执行自适应前景距离变换以创建自适应前景距离变换图像。将阈值应用于自适应前景距离变换图像以产生自适应侵蚀图像输出。

4. 发明授权

US07430320B2 Region-guided boundary refinement method 有权
标题翻译：区域引导边界细化方法
公开(公告)号：US07430320B2
公开(公告)日：2008-09-30
申请号：US10998282
申请日：2004-11-15
申请人： Shih-Jong J. Lee , Tuan Phan
发明人： Shih-Jong J. Lee , Tuan Phan
IPC分类号： G06K9/34
CPC分类号： G06K9/48 , G06K9/0014 , G06T7/13 , G06T7/149 , G06T7/181 , G06T2207/20036 , G06T2207/20156
摘要： A region-guided boundary refinement method for object segmentation in digital images receives an initial object regions of interest and performs directional boundary decomposition using the initial object regions of interest to generate a plurality of directional object boundaries output. A directional border search is performed using the plurality of directional object boundaries to generate base border points output. A base border integration is performed using the base border points to generate base borders output. In addition, a boundary completion is performed using the base borders having boundary refined object regions of interest output.A region-guided boundary completion method for object segmentation in digital images receives an initial object regions of interest and base borders. It performs boundary completion using the initial object regions of interest and the base borders to generate boundary refined object regions of interest output. The boundary completion method performs border growing using the base borders to generate grown borders output. A region guided connection is performed using the grown borders to generate connected borders output. A region guided merging is performed using the connected borders to generate fined object regions of interest output.
摘要翻译：用于数字图像中的对象分割的区域引导边界细化方法接收目标的初始对象区域，并使用感兴趣的初始对象区域进行方向边界分解，以生成多个方向对象边界输出。使用多个方向对象边界执行方向边界搜索以生成基本边界点输出。使用基本边界点执行基本边界集成以生成基本边框输出。此外，使用具有兴趣输出的边界精细对象区域的基本边界来执行边界完成。用于数字图像中的对象分割的区域引导边界完成方法接收感兴趣的初始对象区域和基本边界。它使用感兴趣的初始对象区域和基本边界来执行边界完成，以生成兴趣输出的边界细化对象区域。边界完成方法使用基础边框执行边界生长以生成成长边界输出。使用生成的边界执行区域引导连接以生成连接的边界输出。使用连接的边界来执行区域引导合并，以产生感兴趣的精细对象区域输出。

5. 发明申请

US20080037872A1 Method for adaptive image region partition and morphologic processing 有权
标题翻译：自适应图像区域分割和形态处理方法
公开(公告)号：US20080037872A1
公开(公告)日：2008-02-14
申请号：US11973055
申请日：2007-10-04
申请人： Shih-Jong J. Lee , Tuan Phan
发明人： Shih-Jong J. Lee , Tuan Phan
IPC分类号： G06K9/34
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： An adaptive dilation method receives an image and performs an adaptive background distance transform to create an adaptive background distance transform image. A threshold is applied to the adaptive background distance transform image to generate adaptive dilation image output. An adaptive erosion method receives an image and performs an adaptive foreground distance transform to create an adaptive foreground distance transform image. A threshold is applied to the adaptive foreground distance transform image to generate adaptive erosion image output.
摘要翻译：自适应扩张方法接收图像并执行自适应背景距离变换以创建自适应背景距离变换图像。将阈值应用于自适应背景距离变换图像以产生自适应扩张图像输出。自适应侵蚀方法接收图像并执行自适应前景距离变换以创建自适应前景距离变换图像。将阈值应用于自适应前景距离变换图像以产生自适应侵蚀图像输出。

6. 发明授权

US07580556B2 Image region partitioning using pre-labeled regions 有权
标题翻译：使用预标记区域的图像区域划分
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
IPC分类号： G06K9/00 , G06K9/34
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。

7. 发明申请

US20130322741A1 Teachable pattern scoring method 有权
公开(公告)号：US20130322741A1
公开(公告)日：2013-12-05
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
IPC分类号： G06K9/62
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.

8. 发明授权

US07856136B2 Analysis of patterns among objects of a plurality of classes 有权
标题翻译：分析多个类的对象之间的模式
公开(公告)号：US07856136B2
公开(公告)日：2010-12-21
申请号：US10828629
申请日：2004-04-14
申请人： Shih-Jong J. Lee , Samuel Alworth
发明人： Shih-Jong J. Lee , Samuel Alworth
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K9/00127 , G06T2207/30004
摘要： A method for the detection and analysis of patterns receives an image containing object labels and performs relational feature development using the input image to create at least one pattern map. It then performs relational feature analysis using the at least one pattern map to create a relational feature analysis result. The pattern detection and analysis method further comprises a recipe for automation control and includes determination of a genetic anomaly.A relational feature development method receives an image containing object labels and performs core measurement table development using the input image to create at least one core measurement table. It then performs feature table production using the at least one core measurement table to create at least one feature table. It also performs PatternMap creation using the at least one feature table to create a PatternMap. The relational feature development method further comprises a PatternMap integration and update step to create an updated PatternMap.A boundary distance measurement receives an image containing object labels and performs structure object mask production using the input image to create structure object mask. It then performs inner distance transform using the structure object mask to create inner distance transform image and finds individual object centroid using the input image to create individual object centroid output. In addition, it finds object boundary distance using the individual object centroid and the inner distance transform image to create object boundary distance output.
摘要翻译：用于检测和分析图案的方法接收包含对象标签的图像，并使用输入图像执行关系特征开发以创建至少一个模式图。然后，使用至少一个模式图执行关系特征分析，以创建关系特征分析结果。模式检测和分析方法还包括自动化控制的方案，并且包括遗传异常的确定。关系特征开发方法接收包含对象标签的图像，并使用输入图像执行核心测量表开发，以创建至少一个核心测量表。然后，使用至少一个核心测量表来执行特征表生成以创建至少一个特征表。它还使用至少一个要素表创建PatternMap来创建PatternMap。关系特征开发方法还包括PatternMap集成和更新步骤以创建更新的PatternMap。边界距离测量接收包含对象标签的图像，并使用输入图像执行结构对象掩模生成，以创建结构对象掩码。然后使用结构对象掩码进行内部距离变换，以创建内部距离变换图像，并使用输入图像找到单个对象中心，以创建单个对象质心输出。此外，它使用单个对象中心和内部距离变换图像找到对象边界距离以创建对象边界距离输出。

9. 发明授权

US07697755B2 Method for robust analysis of biological activity in microscopy images 有权
标题翻译：显微镜图像生物活性的鲁棒分析方法
公开(公告)号：US07697755B2
公开(公告)日：2010-04-13
申请号：US10952579
申请日：2004-09-29
申请人： Shih-Jong J. Lee , Samuel Alworth
发明人： Shih-Jong J. Lee , Samuel Alworth
IPC分类号： G06K9/00 , G06K9/34 , G06K9/62 , G06K9/46 , G06K9/66 , G01N33/53
CPC分类号： G06K9/00127
摘要： An object analysis method performs object segmentation to generate segmentation confidence map and uses the segmentation results to generate robust object features. The robust object features are combined to create robust FOV summary features, robust sample summary features and robust assay summary features.
摘要翻译：对象分析方法执行对象分割以生成分割置信图，并使用分割结果来生成鲁棒的对象特征。强大的对象特征被组合以创建强大的FOV总结特征，强大的样本摘要特征和强大的分析概要特征。

10. 发明授权

US07263509B2 Intelligent spatial reasoning 有权
标题翻译：智能空间推理
公开(公告)号：US07263509B2
公开(公告)日：2007-08-28
申请号：US10411437
申请日：2003-04-09
申请人： Shih-Jong J. Lee , Seho Oh
发明人： Shih-Jong J. Lee , Seho Oh
IPC分类号： G06F12/00 , G06N5/02
CPC分类号： G06N5/04 , G06K9/342 , G06K9/4638 , G06N5/025 , G06N99/005
摘要： An intelligent spatial reasoning method receives a plurality of object sets. A spatial mapping feature learning method uses the plurality of object sets to create at least one salient spatial mapping feature output. It performs spatial reasoning rule learning using the at least one spatial mapping feature to create at least one spatial reasoning rule output. The spatial mapping feature learning method performs a spatial mapping feature set generation step followed by a feature learning step. The spatial mapping feature set is generated by repeated application of spatial correlation between two object sets. The feature learning method consists of a feature selection step and a feature transformation step and the spatial reasoning rule learning method uses the supervised learning method.The spatial reasoning approach of this invention automatically characterizes spatial relations of multiple sets of objects by comprehensive collections of spatial mapping features. Some of the features have clearly understandable physical, structural, or geometrical meanings. Others are statistical characterizations, which may not have clear physical, structural or geometrical meanings when considered individually. A combination of these features, however, could characterize subtle physical, structural or geometrical conditions under practical situations. One key advantage of this invention is the ability to characterize subtle differences numerically using a comprehensive feature set.
摘要翻译：智能空间推理方法接收多个对象集。空间映射特征学习方法使用多个对象集来创建至少一个显着的空间映射特征输出。它使用至少一个空间映射特征来执行空间推理规则学习以创建至少一个空间推理规则输出。空间映射特征学习方法执行空间映射特征集生成步骤，随后是特征学习步骤。通过重复应用两个对象集之间的空间相关性来生成空间映射特征集。特征学习方法由特征选择步骤和特征变换步骤组成，空间推理规则学习方法采用监督学习方法。本发明的空间推理方法通过空间映射特征的综合集合自动表征多组对象的空间关系。一些功能具有明确的理解，物理，结构或几何意义。其他是统计特征，当单独考虑时可能没有明确的物理，结构或几何意义。然而，这些特征的组合可以在实际情况下表征微妙的物理，结构或几何条件。本发明的一个关键优点是能够使用综合特征集在数值上表征微妙的差异。

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