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1. 发明授权

US06963425B1 System and method for locating color and pattern match regions in a target image 有权
标题翻译：用于在目标图像中定位颜色和图案匹配区域的系统和方法
公开(公告)号：US06963425B1
公开(公告)日：2005-11-08
申请号：US09638271
申请日：2000-08-14
申请人： Dinesh Nair , Siming Lin , Darren Schmidt , Nicolas Vazqúez
发明人： Dinesh Nair , Siming Lin , Darren Schmidt , Nicolas Vazqúez
IPC分类号： G06F15/00 , G06K1/00
CPC分类号： G06T7/0006 , G06K9/4652 , G06K9/6203 , G06T7/90 , G06T2207/30141
摘要： A system and method for locating regions in a target image that match a template image with respect to color and pattern information. The method may comprise performing a first-pass search using color information obtained in a color characterization analysis of the template image in order to find a plurality of color match candidate locations. For each color match candidate location, a region proximal to the location may then be searched in detail, based on pattern information obtained in a pattern analysis of the template image.
摘要翻译：一种用于在目标图像中定位与模板图像相对于颜色和图案信息匹配的区域的系统和方法。该方法可以包括使用在模板图像的颜色表征分析中获得的颜色信息来执行第一遍搜索，以便找到多个颜色匹配候选位置。对于每个颜色匹配候选位置，可以基于在模板图像的模式分析中获得的模式信息来详细搜索靠近该位置的区域。

2. 发明授权

US07046842B2 System and method for color characterization using fuzzy pixel classification with application in color matching and color match location 有权
公开(公告)号：US07046842B2
公开(公告)日：2006-05-16
申请号：US09737531
申请日：2000-12-13
申请人： Siming Lin , Dinesh Nair , Darren Schmidt
发明人： Siming Lin , Dinesh Nair , Darren Schmidt
IPC分类号： G06K9/00
CPC分类号： G06K9/3241 , G06K9/4652 , G06K9/6293 , G06T7/001 , G06T2207/10024 , G06T2207/30141
摘要： A system and method for measuring the similarity of multiple-color images and for locating regions of a target image having color information that matches, at least to a degree, the color information of a template image. A color characterization method operates to characterize the colors of an image and to measure the similarity between multiple-color images. For each image pixel, the method determines a color category or bin for the respective pixel based on HSI values of the respective pixel, wherein the color category is one of a plurality of possible color categories in HSI color space. In various embodiments, the weight of the pixel may be fractionally distributed across a plurality of color categories, e.g., as determined by applying fuzzy pixel classification with a fuzzy membership function. The percentage of pixels assigned to each category is then determined. The percentage of pixels in each color category is then used as a color feature vector to represent the color information of the color image. A quantitative measurement of the color similarity between color images is then computed based on the distance between their color feature vectors. Once the color information of a template image has been characterized, a target image may be searched in order to locate regions within the target image having matching color information. In one embodiment, a coarse-to-fine heuristic may be utilized, in which multiple search stages of decreasing granularity are performed. A first-stage search may operate to identify a list of candidate match regions based on the city-block distance of the color feature vector computed using a sub-sampling scheme. These candidate match regions may then be examined in further detail in order to determine final matches.

3. 发明授权

US07039229B2 Locating regions in a target image using color match, luminance pattern match and hill-climbing techniques 有权
标题翻译：使用颜色匹配，亮度图案匹配和爬山技术来定位目标图像中的区域
公开(公告)号：US07039229B2
公开(公告)日：2006-05-02
申请号：US10005548
申请日：2001-10-26
申请人： Siming Lin , Dinesh Nair , Darren R. Schmidt
发明人： Siming Lin , Dinesh Nair , Darren R. Schmidt
IPC分类号： G09K9/00
CPC分类号： G06K9/6293 , G06K9/3241 , G06K9/4652
摘要： A system and method for locating regions in a target image matching a template image with respect to color and pattern information. The template image is characterized with regard to pattern and color. A first-pass search is made using color information from the color characterization of the template image to find color match candidate locations preferably via a hill-climbing technique. For each color match candidate location, a luminance pattern matching search is performed, optionally using a hill-climbing technique, on a region proximal to the location, producing final match regions. For each final match region a hue plane pattern match score may be calculated using pixel samples from the interior of each pattern. A final color match score may be calculated for each final match region. A final score is calculated from luminance pattern match, color match, and possibly hue pattern match, scores, and the scores and sum output.
摘要翻译：一种用于在与颜色和图案信息相匹配的模板图像中定位目标图像中的区域的系统和方法。模板图像的特征在于图案和颜色。使用来自模板图像的颜色表征的颜色信息进行首次搜索，以优选地通过爬山技术来找到匹配候选位置。对于每个颜色匹配候选位置，在靠近该位置的区域上执行亮度图案匹配搜索（可选地使用爬山技术），产生最终匹配区域。对于每个最终匹配区域，可以使用来自每个图案的内部的像素样本来计算色调平面图案匹配分数。可以针对每个最终匹配区域计算最终颜色匹配分数。从亮度模式匹配，颜色匹配和可能的色调模式匹配，分数以及得分和总和输出计算最终得分。

4. 发明授权

US06944331B2 Locating regions in a target image using color matching, luminance pattern matching and hue plane pattern matching 有权
标题翻译：使用颜色匹配，亮度图案匹配和色调平面图案匹配来定位目标图像中的区域
公开(公告)号：US06944331B2
公开(公告)日：2005-09-13
申请号：US10014945
申请日：2001-10-26
申请人： Darren R. Schmidt , Kevin L. Schultz , Siming Lin , Dinesh Nair
发明人： Darren R. Schmidt , Kevin L. Schultz , Siming Lin , Dinesh Nair
IPC分类号： G06F15/00 , G06K9/00 , G06K9/62 , G06T5/00 , G06T7/00 , G06T7/40 , H03F1/26 , H04B15/00
CPC分类号： G06T7/001 , G06T7/32 , G06T7/90 , G06T2200/24 , G06T2207/10016
摘要： A system and method for locating regions in a target image that match a template image with respect to color and pattern information. The template image is characterized with regard to pattern and color. The method comprises performing a first-pass search using color information from the color characterization of the template image to find one or more color match candidate locations. For each color match candidate location, a luminance, i.e., gray scale, pattern matching search is performed on a region proximal to the location, producing one or more final match regions. For each final match region a hue plane pattern match score may be calculated using pixel samples from the interior of each pattern. A final color match score may be calculated for each final match region. A weighted sum of luminance pattern match, hue pattern match, and color match scores may be calculated, and the scores and sum output.
摘要翻译：一种用于在目标图像中定位与模板图像相对于颜色和图案信息匹配的区域的系统和方法。模板图像的特征在于图案和颜色。该方法包括使用来自模板图像的颜色表征的颜色信息来执行首次搜索以找到一个或多个颜色匹配候选位置。对于每个颜色匹配候选位置，在靠近该位置的区域上执行亮度，即灰度，模式匹配搜索，产生一个或多个最终匹配区域。对于每个最终匹配区域，可以使用来自每个图案的内部的像素样本来计算色调平面图案匹配分数。可以针对每个最终匹配区域计算最终颜色匹配分数。可以计算亮度模式匹配，色调模式匹配和颜色匹配分数的加权和，并计算得分和总和输出。

5. 发明授权

US06757428B1 System and method for color characterization with applications in color measurement and color matching 有权
标题翻译：用于颜色测量和颜色匹配应用的颜色表征的系统和方法
公开(公告)号：US06757428B1
公开(公告)日：2004-06-29
申请号：US09375453
申请日：1999-08-17
申请人： Siming Lin , Dinesh Nair
发明人： Siming Lin , Dinesh Nair
IPC分类号： G06K900
CPC分类号： G06K9/6293 , G06K9/3241 , G06K9/4652 , G06T7/001 , G06T2207/10024 , G06T2207/30141
摘要： A color characterization method operates to analyze each respective pixel of at least a subset of the pixels of an image object. The image is obtained in HSI format, or alternatively converted from another format to HSI. For each respective pixel, the method determines a color category or bin for the respective pixel based on values of the respective pixel. The color category is one a plurality of possible color categories or bins in the HSI color space. As the pixels are analyzed and assigned to color categories, the method stores information in tho computer regarding the number or percentage or pixels in each of the color categories. A color matching method uses the color characterization method. The color matching method determines similarity of colors between a template image object and a region of interest (ROI). The color matching method first performs the above color characterization technique on each of a template image object and a ROI (region of interest) and then generates match information based on the color information of the template image object and the color information of the ROI, wherein this match information indicates the similarity of colors between the template image object and the ROI.
摘要翻译：颜色表征方法用于分析图像对象的像素的至少一个子集的每个相应像素。图像以HSI格式获得，或者从另一种格式转换为HSI。对于每个相应的像素，该方法基于相应像素的值来确定相应像素的颜色类别或块。颜色类别是HSI颜色空间中多种可能的颜色分类或分类中的一种。当像素被分析并分配给颜色类别时，该方法将关于每个颜色类别中的数量或像素的信息存储在计算机中。颜色匹配方法使用颜色表征方法。颜色匹配方法确定模板图像对象和感兴趣区域（ROI）之间的颜色的相似度。颜色匹配方法首先在模板图像对象和ROI（感兴趣区域）中的每一个上执行上述颜色表征技术，然后基于模板图像对象的颜色信息和ROI的颜色信息生成匹配信息，其中该匹配信息表示模板图像对象和ROI之间的颜色的相似度。

6. 发明授权

US07233700B2 System and method for signal matching and characterization 有权
标题翻译：用于信号匹配和表征的系统和方法
公开(公告)号：US07233700B2
公开(公告)日：2007-06-19
申请号：US11105761
申请日：2005-04-14
申请人： Ram Rajagopal , Lothar Wenzel , Dinesh Nair , Darren Schmidt
发明人： Ram Rajagopal , Lothar Wenzel , Dinesh Nair , Darren Schmidt
IPC分类号： G06K9/62 , G06K9/36
CPC分类号： G06K9/00496 , G06F17/15 , G06K9/52 , G06K9/522 , G06K9/6203
摘要： A system and method for selecting a best match of a received input signal from a set of candidate signals, wherein two or more of the candidate signals are uncorrelated. In a preprocessing phase a signal transform (UST) is determined from the candidate signals. The UST converts each candidate signal to a generalized frequency domain. The UST is applied at a generalized frequency to each candidate signal to calculate corresponding generalized frequency component values (GFCVs) for each candidate signal. At runtime, the input signal of interest is received, and the UST is applied at the generalized frequency to the input signal of interest to calculate a corresponding GFCV. The best match is determined between the GFCV of the input signal of interest and the GFCVs of each of the set of candidate signals. Finally, information indicating the best match candidate signal from the set of candidate signals is output.
摘要翻译：一种用于从一组候选信号中选择接收的输入信号的最佳匹配的系统和方法，其中两个或更多个候选信号是不相关的。在预处理阶段，从候选信号确定信号变换（UST）。 UST将每个候选信号转换成广义频域。 UST以广义频率应用于每个候选信号，以计算每个候选信号的相应的广义频率分量值（GFCV）。在运行时，接收感兴趣的输入信号，并将UST以广义频率施加到感兴趣的输入信号，以计算相应的GFCV。在感兴趣的输入信号的GFCV和候选信号组中的每一个的GFCV之间确定最佳匹配。最后，输出从候选信号组中指示最佳匹配候选信号的信息。

7. 发明授权

US07013047B2 System and method for performing edge detection in an image 有权
标题翻译：用于在图像中执行边缘检测的系统和方法
公开(公告)号：US07013047B2
公开(公告)日：2006-03-14
申请号：US09894272
申请日：2001-06-28
申请人： Darren Schmidt , Ram Rajagopal , Lothar Wenzel , Dinesh Nair
发明人： Darren Schmidt , Ram Rajagopal , Lothar Wenzel , Dinesh Nair
IPC分类号： G06K9/48
CPC分类号： G06K9/4604 , G06F17/30259 , G06T7/12 , G06T7/149
摘要： A system and method for performing a curve fit on a plurality of data points. In an initial phase, a subset Pmax of the plurality of points which represents an optimal curve is determined. This phase is based on a statistical model which dictates that after trying at most Nmin random curves, each connecting a randomly selected two or more points from the input set, one of the curves will pass within a specified radius of the subset Pmax of the input points. The subset Pmax may then be used in the second phase of the method, where a refined curve fit is made by iteratively culling outliers from the subset Pmax with respect to a succession of optimal curves fit to the modified subset Pmax at each iteration. The refined curve fit generates a refined curve, which may be output along with a final culled subset Kfinal of Pmax.
摘要翻译：一种用于在多个数据点上执行曲线拟合的系统和方法。在初始阶段中，确定表示最佳曲线的多个点中的子集P最大值。该阶段基于统计模型，其指示在尝试最多N分钟随机曲线之后，每个随机曲线连接从输入集合中随机选择的两个或更多个点，其中一个曲线将在指定的输入点的子集P最大的半径。然后可以在该方法的第二阶段中使用子集P max，其中通过相对于a的子集P i迭代地淘汰离群值来进行精细曲线拟合在每次迭代时，优化曲线的连续拟合到修改的子集P最大。精细曲线拟合产生精细曲线，其可以与最终淘汰的子集K最终一起输出。

8. 发明申请

US20050177314A1 System and method for signal matching and characterization 有权
标题翻译：用于信号匹配和表征的系统和方法
公开(公告)号：US20050177314A1
公开(公告)日：2005-08-11
申请号：US11105761
申请日：2005-04-14
申请人： Ram Rajagopal , Lothar Wenzel , Dinesh Nair , Darren Schmidt
发明人： Ram Rajagopal , Lothar Wenzel , Dinesh Nair , Darren Schmidt
IPC分类号： G06F17/15 , G06K9/52 , G06K9/64 , G06F7/00 , G01N33/48 , G01N33/50 , G06F17/30 , G06F19/00
CPC分类号： G06K9/00496 , G06F17/15 , G06K9/52 , G06K9/522 , G06K9/6203
摘要： A system and method for selecting a best match of a received input signal from a set of candidate signals, wherein two or more of the candidate signals are uncorrelated. In a preprocessing phase a signal transform (UST) is determined from the candidate signals. The UST converts each candidate signal to a generalized frequency domain. The UST is applied at a generalized frequency to each candidate signal to calculate corresponding generalized frequency component values (GFCVs) for each candidate signal. At runtime, the input signal of interest is received, and the UST is applied at the generalized frequency to the input signal of interest to calculate a corresponding GFCV. The best match is determined between the GFCV of the input signal of interest and the GFCVs of each of the set of candidate signals. Finally, information indicating the best match candidate signal from the set of candidate signals is output.
摘要翻译：一种用于从一组候选信号中选择接收的输入信号的最佳匹配的系统和方法，其中两个或更多个候选信号是不相关的。在预处理阶段，从候选信号确定信号变换（UST）。 UST将每个候选信号转换成广义频域。 UST以广义频率应用于每个候选信号，以计算每个候选信号的相应的广义频率分量值（GFCV）。在运行时，接收感兴趣的输入信号，并将UST以广义频率施加到感兴趣的输入信号，以计算相应的GFCV。在感兴趣的输入信号的GFCV和候选信号组中的每一个的GFCV之间确定最佳匹配。最后，输出从候选信号组中指示最佳匹配候选信号的信息。

9. 发明授权

US06963667B2 System and method for signal matching and characterization 有权
标题翻译：用于信号匹配和表征的系统和方法
公开(公告)号：US06963667B2
公开(公告)日：2005-11-08
申请号：US09760052
申请日：2001-01-12
申请人： Ram Rajagopal , Lothar Wenzel , Dinesh Nair , Darren Schmidt
发明人： Ram Rajagopal , Lothar Wenzel , Dinesh Nair , Darren Schmidt
IPC分类号： G06F17/15 , G06K9/52 , G06K9/64 , G06K9/00 , G06K9/36 , G06K9/46 , G06K9/68
CPC分类号： G06K9/00496 , G06F17/15 , G06K9/52 , G06K9/522 , G06K9/6203
摘要： A system and method for selecting a best match of a received input signal from a set of candidate signals, wherein two or more of the candidate signals are uncorrelated. In a preprocessing phase a unified signal transform (UST) is determined from the candidate signals. The UST converts each candidate signal to a generalized frequency domain. The UST is applied at a generalized frequency to each candidate signal to calculate corresponding generalized frequency component values (GFCVs) for each candidate signal. At runtime, the input signal of interest is received, and the UST is applied at the generalized frequency to the input signal of interest to calculate a corresponding GFCV. The best match is determined between the GFCV of the input signal of interest and the GFCVs of each of the set of candidate signals. Finally, information indicating the best match candidate signal from the set of candidate signals is output.
摘要翻译：一种用于从一组候选信号中选择接收的输入信号的最佳匹配的系统和方法，其中两个或更多个候选信号是不相关的。在预处理阶段，从候选信号确定统一信号变换（UST）。 UST将每个候选信号转换成广义频域。 UST以广义频率应用于每个候选信号，以计算每个候选信号的相应的广义频率分量值（GFCV）。在运行时，接收感兴趣的输入信号，并将UST以广义频率施加到感兴趣的输入信号，以计算相应的GFCV。在感兴趣的输入信号的GFCV和候选信号组中的每一个的GFCV之间确定最佳匹配。最后，输出从候选信号组中指示最佳匹配候选信号的信息。

10. 发明授权

US06882958B2 System and method for curve fitting using randomized techniques 有权
标题翻译：使用随机技术进行曲线拟合的系统和方法
公开(公告)号：US06882958B2
公开(公告)日：2005-04-19
申请号：US09894497
申请日：2001-06-28
申请人： Darren Schmidt , Ram Rajagopal , Lothar Wenzel , Dinesh Nair
发明人： Darren Schmidt , Ram Rajagopal , Lothar Wenzel , Dinesh Nair
IPC分类号： G06F17/17 , G06F17/00
CPC分类号： G06F17/17 , G06K9/6204
摘要： A system and method for performing a curve fit on a plurality of data points. In an initial phase, a subset Pmax of the plurality of points which represents an optimal curve is determined. This phase is based on a statistical model which dictates that after trying at most Nmin random curves, each connecting a randomly selected two or more points from the input set, one of the curves will pass within a specified radius of the subset Pmax of the input points. The subset Pmax may then be used in the second phase of the method, where a refined curve fit is made by iteratively culling outliers from the subset Pmax with respect to a succession of optimal curves fit to the modified subset Pmax at each iteration. The refined curve fit generates a refined curve, which may be output along with a final culled subset Kfinal of Pmax.
摘要翻译：一种用于在多个数据点上执行曲线拟合的系统和方法。在初始阶段中，确定表示最佳曲线的多个点中的子集P最大值。该阶段基于统计模型，其指示在尝试最多N分钟随机曲线之后，每个随机曲线连接从输入集合中随机选择的两个或更多个点，其中一个曲线将在指定的输入点的子集P最大的半径。然后可以在该方法的第二阶段中使用子集P max，其中通过相对于a的子集P i迭代地淘汰离群值来进行精细曲线拟合在每次迭代时，优化曲线的连续拟合到修改的子集P最大。精细曲线拟合产生精细曲线，其可以与最终淘汰的子集K最终一起输出。

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