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61. 发明授权

US07551162B2 Method for keypad optimization 失效
标题翻译：键盘优化方法
公开(公告)号：US07551162B2
公开(公告)日：2009-06-23
申请号：US11175952
申请日：2005-07-05
申请人： Chang-Sung Yu , Shih-Jong J. Lee
发明人： Chang-Sung Yu , Shih-Jong J. Lee
IPC分类号： G09G5/00
CPC分类号： G06F3/0237
摘要： A keypad optimization method for handheld devices with optimal multi-language entry capability and handiness for both handheld and fingertip manipulation receives application requirements containing language specification and performs application mapping using the application requirements to generate versatile keypad map output. A versatile keypad is implemented using versatile keypad map wherein the versatile keypad receives user input and generates received data output. An interactive optimization is performed using the received data having online action output. The online action is used to generate keypad output and screen display by the versatile keypad.An application mapping method receives application requirements containing language specification and performs language entry order grouping using the language specification to generate entry order groups and valid combination output. An inter-group mapping is performed using the application requirements and the entry order groups and valid combination having mapping sets output. An intra-group location mapping is performed using the application requirements and the mapping sets having key maps output.A versatile keypad interactive optimization method initializes the state value to initial input state and receives user key strike input. It performs interactive optimization using the user key strike and the state value having state update and symbol output.
摘要翻译：具有最佳多语言输入能力的手持设备的键盘优化方法和手持和指尖操作的便利性接收包含语言规范的应用需求，并使用应用要求执行应用映射，以生成通用的键盘映射输出。通用键盘实现多功能键盘，其中通用键盘接收用户输入并产生接收的数据输出。使用具有在线动作输出的接收数据来执行交互式优化。在线动作用于通过通用键盘生成键盘输出和屏幕显示。应用映射方法接收包含语言规范的应用需求，并使用语言规范执行语言入口顺序分组，以生成入口顺序组和有效组合输出。使用应用需求和入口顺序组以及具有映射集输出的有效组合来执行组间映射。使用应用需求和具有键映射输出的映射集来执行组内位置映射。通用键盘交互式优化方法将状态值初始化为初始输入状态，并接收用户键击输入。它使用用户键击和具有状态更新和符号输出的状态值执行交互式优化。

62. 发明授权

US07466872B2 Object based boundary refinement method 有权
标题翻译：基于对象的边界细化方法
公开(公告)号：US07466872B2
公开(公告)日：2008-12-16
申请号：US11165561
申请日：2005-06-20
申请人： Seho Oh , Shih-Jong J. Lee
发明人： Seho Oh , Shih-Jong J. Lee
IPC分类号： G06K9/40 , G06K9/42 , G06K9/44
CPC分类号： G06K9/0014 , G06K9/34 , G06T7/0012 , G06T7/12 , G06T7/155 , G06T2207/20104 , G06T2207/20192 , G06T2207/30024
摘要： An object based boundary refinement method for object segmentation in digital images receives an image and a single initial object region of interest and performs refinement zone definition using the initial object regions of interest to generate refinement zones output. A directional edge enhancement is performed using the input image and the refinement zones to generate directional enhanced region of interest output. A radial detection is performed using the input image the refinement zones and the directional enhanced region of interest to generate radial detection mask output. In addition, a final shaping is performed using the radial detection mask having single object region output.A directional edge enhancement method determining pixel specific edge contrast enhancement direction according to the object structure direction near the pixel consists receives an image and refinement zones and performs 1D horizontal distance transform and 1D vertical distance transform using the refinement zones to generate horizontal distance map and vertical distance map outputs. A neighboring direction determination is performed using the horizontal distance map and the vertical distance map to generate neighboring image output. In addition, a directional edge contrast calculation using the neighboring image and input image having directional enhanced region of interest output.
摘要翻译：用于数字图像中对象分割的基于对象的边界细化方法接收图像和感兴趣的单个初始对象区域，并使用感兴趣的初始对象区域执行细化区域定义，以生成细化区域输出。使用输入图像和细化区域来执行方向边缘增强以产生方向增强的兴趣区域输出。使用输入图像进行径向检测，该细化区域和方向增强区域用于产生径向检测掩模输出。另外，使用具有单个物体区域输出的径向检测掩模进行最终成形。根据像素附近的物体结构方向确定像素特征边缘对比度增强方向的方向边缘增强方法包括接收图像和细化区域，并使用细化区域进行1D水平距离变换和1D垂直距离变换，以生成水平距离图和垂直距离图输出。使用水平距离图和垂直距离图执行相邻方向确定以生成相邻图像输出。另外，使用相邻图像的方向边缘对比度计算和具有方向增强感兴趣区域输出的输入图像。

63. 发明申请

US20080112606A1 Method for moving cell detection from temporal image sequence model estimation 有权
标题翻译：从时间图像序列模型估计中移动细胞检测的方法
公开(公告)号：US20080112606A1
公开(公告)日：2008-05-15
申请号：US11595611
申请日：2006-11-09
申请人： Shih-Jong J. Lee , Seho Oh
发明人： Shih-Jong J. Lee , Seho Oh
IPC分类号： G06K9/00
CPC分类号： G06K9/0014 , G06T7/254 , G06T2207/10056 , G06T2207/30024
摘要： A computerized robust cell kinetic recognition method for moving cell detection from temporal image sequence receives an image sequence containing a current image. A dynamic spatial-temporal reference generation is performed to generate dynamic reference image output. A reference based object segmentation is performed to generate initial object segmentation output. An object matching and detection refinement is performed to generate kinetic recognition results output. The dynamic spatial-temporal reference generation step performs frame look ahead and the reference images contain a reference intensity image and at least one reference variation image.
摘要翻译：用于从时间图像序列移动小区检测的计算机化的鲁棒小区动力学识别方法接收包含当前图像的图像序列。执行动态空间 - 时间参考生成以生成动态参考图像输出。执行基于参考的对象分割以产生初始对象分割输出。执行物体匹配和检测细化以产生动力学识别结果输出。动态空间 - 时间参考生成步骤执行帧前瞻，并且参考图像包含参考强度图像和至少一个参考变化图像。

64. 发明申请

US20080056589A1 Spatial-temporal regulation method for robust model estimation 有权
标题翻译：鲁棒模型估计的时空调节方法
公开(公告)号：US20080056589A1
公开(公告)日：2008-03-06
申请号：US11516351
申请日：2006-09-05
申请人： Shih-Jong J. Lee , Seho Oh , Hansang Cho
发明人： Shih-Jong J. Lee , Seho Oh , Hansang Cho
IPC分类号： G06K9/36 , G06K9/46
CPC分类号： G06K9/036 , G06K9/0014 , G06K9/40
摘要： A computerized spatial-temporal regulation method for accurate spatial-temporal model estimation receives a spatial temporal sequence containing object confidence mask. A spatial-temporal weight regulation is performed to generate weight sequence output. A weighted model estimation is performed using the spatial temporal sequence and the weight sequence to generate at least one model parameter output. An iterative weight update is performed to generate weight sequence output. A weighted model estimation is performed to generate estimation result output. A stopping criteria is checked and the next iteration iterative weight update and weighted model estimation is performed until the stopping criteria is met. A model estimation is performed to generate model parameter output. An outlier data identification is performed to generate outlier data output. A spatial-temporal data integrity check is performed and the outlier data is disqualified.
摘要翻译：用于精确空间 - 时间模型估计的计算机空间 - 时间调节方法接收包含对象置信掩模的空间时间序列。执行空间 - 时间权重调节以产生权重序列输出。使用空间时间序列和权重序列来执行加权模型估计，以生成至少一个模型参数输出。执行迭代权重更新以产生权重序列输出。执行加权模型估计以产生估计结果输出。检查停止标准，并执行下一次迭代迭代权重更新和加权模型估计，直到满足停止标准。执行模型估计以产生模型参数输出。执行异常值数据识别以产生离群数据输出。执行空间 - 时间数据完整性检查，异常值数据被取消资格。

65. 发明授权

US07139764B2 Dynamic learning and knowledge representation for data mining 有权
公开(公告)号：US07139764B2
公开(公告)日：2006-11-21
申请号：US10609490
申请日：2003-06-25
申请人： Shih-Jong J. Lee
发明人： Shih-Jong J. Lee
IPC分类号： G06F17/30
CPC分类号： G06F17/30539 , G06F2216/03 , Y10S707/99935 , Y10S707/99936 , Y10S707/99942 , Y10S707/99943 , Y10S707/99945 , Y10S707/99948
摘要： An integrated human and computer interactive data mining method receives an input database. A learning, modeling, and analysis method uses the database to create an initial knowledge model. A query of the initial knowledge model is performed using a query request. The initial knowledge model is processed to create a knowledge presentation output for visualization. It further comprises a feedback and update request step that updates the initial knowledge model.A multiple level integrated human and computer interactive data mining method facilitates overview interactive data mining and dynamic learning and knowledge representation by using the initial knowledge model and the database to create and update a presentable knowledge model. It facilitates zoom and filter interactive data mining and dynamic learning and knowledge representation by using the presentable knowledge model and the database to create and update the presentable knowledge model. It further facilitates details-on-demand interactive data mining and dynamic learning and knowledge representation by using the presentable knowledge model and the database to create and update the presentable knowledge model.The integrated human and computer interactive data mining method allows rule viewing by a parallel coordinate visualization technique that maps a multiple dimensional space onto two display dimensions with data items presented as polygonal lines.

66. 发明授权

US07133560B2 Generating processing sequences for image-based decision systems 有权
标题翻译：生成基于图像的决策系统的处理顺序
公开(公告)号：US07133560B2
公开(公告)日：2006-11-07
申请号：US10191925
申请日：2002-07-09
申请人： Shih-Jong J. Lee
发明人： Shih-Jong J. Lee
IPC分类号： G06K9/68 , G06K9/70 , G06K9/62
CPC分类号： G06K9/469 , G06T7/0002
摘要： A multilevel Chain-And-Tree (CAT) model provides a framework to facilitate highly effective image analysis and measurement. Methods are described to automatically or semi-automatically create a processing sequence for image based decision applications using the CAT model framework. The invention supports new image based decision applications with little or no involvement of image processing experts. A new representation for processing sequence is consistent with CAT data representation, which allows easy understanding, updating, and debugging.
摘要翻译：多级连锁树（CAT）模型提供了一个框架，以促进高效图像分析和测量。描述了使用CAT模型框架自动或半自动创建基于图像的决策应用程序的处理顺序的方法。本发明支持图像处理专家很少或不参与的基于图像的新的决策应用。处理顺序的新表示与CAT数据表示一致，这使得易于理解，更新和调试。

67. 发明授权

US07096207B2 Accelerated learning in machine vision using artificially implanted defects 有权
公开(公告)号：US07096207B2
公开(公告)日：2006-08-22
申请号：US10104647
申请日：2002-03-22
申请人： Donglok Kim , Shih-Jong J. Lee , Seho Oh
发明人： Donglok Kim , Shih-Jong J. Lee , Seho Oh
IPC分类号： G06N5/00
CPC分类号： G06K9/6255
摘要： A learning acceleration method is disclosed that can be applied to multiple types and stages of learning to enhance the learning efficiency and outcome. Artificially created training samples can improve representation of all classes in the training set, decrease the difficulty of obtaining sufficient training samples, and decrease the difficulty of unequal sample prevalence. Two specific embodiments of learning acceleration are disclosed: learning accelerated algorithm training and learning accelerated start-up learning. Three objects of interest implantation methods are disclosed: texture mapping of defects, parametric synthesis of negative samples, and manual image editing.

68. 发明授权

US06735337B2 Robust method for automatic reading of skewed, rotated or partially obscured characters 有权
标题翻译：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。

69. 发明授权

US06640008B1 Rotation and scale invariant pattern matching method 有权
标题翻译：旋转和尺度不变模式匹配方法
公开(公告)号：US06640008B1
公开(公告)日：2003-10-28
申请号：US09895150
申请日：2001-06-29
申请人： Shih-Jong J. Lee , Seho Oh , Ryan K Seghers
发明人： Shih-Jong J. Lee , Seho Oh , Ryan K Seghers
IPC分类号： G06K968
CPC分类号： G06K9/4647 , G06K9/6203 , G06K2209/29
摘要： A polar coordinate representation of a template image is projected onto the radius axis and rotation axis. Linear transformation of the radius projection provides multiple templates for rapid one dimensional scale search. Pattern matching of the angular projection onto the rotation axis facilitates rapid one dimensional pattern match for rotation variation. The invention overcomes the speed limitation of the normalized correlation template matching method when the pattern being searched is subject to rotation or size variation. A fast correlation method uses a weighted histogram sum to compute the correlation score.
摘要翻译：将模板图像的极坐标表示投影到半径轴和旋转轴上。半径投影的线性变换为快速一维尺度搜索提供了多个模板。角度投影对旋转轴的图案匹配有助于快速的一维图案匹配旋转变化。本发明克服了正在搜索的图案受到旋转或尺寸变化的归一化相关模板匹配方法的速度限制。快速相关方法使用加权直方图和来计算相关分数。

70. 发明授权

US6137899A Apparatus for the identification of free-lying cells 失效
标题翻译：用于鉴定自由躺卧细胞的装置
公开(公告)号：US6137899A
公开(公告)日：2000-10-24
申请号：US120860
申请日：1998-07-22
申请人： Shih-Jong J. Lee , Paul S. Wilhelm , Wendy R. Bannister , Chih-Chau L. Kuan , Seho Oh , Michael G. Meyer
发明人： Shih-Jong J. Lee , Paul S. Wilhelm , Wendy R. Bannister , Chih-Chau L. Kuan , Seho Oh , Michael G. Meyer
IPC分类号： G01N15/14 , G06K9/00
CPC分类号： G06K9/00127 , G01N15/1475 , G01N2015/1497
摘要： A free-lying cell classifier. An automated microscope system comprising a computer and high speed processing field of view processors identifies free-lying cells. An image of a biological specimen is obtained and the image is segmented to create a set of binary masks. The binary masks are used by a feature calculator to compute the features that characterize objects of interest including free-lying cells, artifacts and other biological objects. The objects are classified to identify their type, their normality or abnormality or their identification as an artifact. The results are summarized and reported. A stain evaluation of the slide is performed as well as a typicality evaluation. The robustness of the measurement is also quantified as a classification confidence value. The free-lying cell evaluation is used by an automated cytology system to classify a biological specimen slide.
摘要翻译：一个自由的细胞分类器。包括计算机和高速处理视野处理视野处理器的自动显微镜系统识别自由放置的单元。获得生物样本的图像，并将图像分割以产生一组二进制掩模。特征计算器使用二进制掩码来计算表征感兴趣对象的特征，包括自由放置的细胞，伪影和其他生物物体。这些物体被分类以识别它们的类型，它们的正常性或异常或它们作为人造物的识别。总结和报告结果。执行幻灯片的染色评估以及典型评估。测量的鲁棒性也被量化为分类置信度值。自由细胞学评估系统用于分离生物样本载玻片。

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