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    • 2. 发明授权
    • Method for partitioning a pattern into optimized sub-patterns
    • 将模式划分为优化子模式的方法
    • US09147252B2
    • 2015-09-29
    • US13330003
    • 2011-12-19
    • Jason DavisJuha Koljonen
    • Jason DavisJuha Koljonen
    • G06K9/34G06K9/46G06K9/66G06T7/00
    • G06T7/0042G06K9/469G06T7/12G06T7/162G06T7/73
    • A method is provided for dividing a pattern into a plurality of sub-patterns, each sub-pattern being adapted for use with an image search method that can provide a plurality of sub-pattern search results. The method represents the pattern as a plurality of feature points, generates candidate partitions of the plurality of feature points, and then scores the candidate partitions by examining characteristics of each potential sub-pattern of each candidate partition. The highest-scoring partition is selected, and then it is applied to the plurality of feature points, creating one or more sub-pluralities of features. The invention advantageously provides a plurality of sub-patterns where each sub-pattern contains enough information to be located with a feature-based search method, where that information has been pre-evaluated as being useful and particularly adapted for running feature-based searches.
    • 提供了一种用于将图案划分成多个子图案的方法,每个子图案适于与能够提供多个子图案搜索结果的图像搜索方法一起使用。 该方法表示作为多个特征点的图案,生成多个特征点的候选分区,然后通过检查每个候选分区的每个潜在子模式的特征来对候选分区进行分数。 选择最高分数分区,然后将其应用于多个特征点,创建一个或多个子多个特征。 本发明有利地提供了多个子模式,其中每个子模式包含足够的信息以使用基于特征的搜索方法来定位,其中该信息已被预先评估为有用的并且特别适用于运行基于特征的搜索。
    • 3. 发明申请
    • METHOD FOR PARTITIONING A PATTERN INTO OPTIMIZED SUB-PATTERNS
    • 将图案分解为优化子图案的方法
    • US20120155768A1
    • 2012-06-21
    • US13330003
    • 2011-12-19
    • Jason DavisJuha Koljonen
    • Jason DavisJuha Koljonen
    • G06K9/34
    • G06T7/0042G06K9/469G06T7/12G06T7/162G06T7/73
    • A method is provided for dividing a pattern into a plurality of sub-patterns, each sub-pattern being adapted for use with an image search method that can provide a plurality of sub-pattern search results. The method represents the pattern as a plurality of feature points, generates candidate partitions of the plurality of feature points, and then scores the candidate partitions by examining characteristics of each potential sub-pattern of each candidate partition. The highest-scoring partition is selected, and then it is applied to the plurality of feature points, creating one or more sub-pluralities of features. The invention advantageously provides a plurality of sub-patterns where each sub-pattern contains enough information to be located with a feature-based search method, where that information has been pre-evaluated as being useful and particularly adapted for running feature-based searches.
    • 提供了一种用于将图案划分成多个子图案的方法,每个子图案适于与能够提供多个子图案搜索结果的图像搜索方法一起使用。 该方法表示作为多个特征点的图案,生成多个特征点的候选分区,然后通过检查每个候选分区的每个潜在子模式的特征来对候选分区进行分数。 选择最高分数分区,然后将其应用于多个特征点,创建一个或多个子多个特征。 本发明有利地提供了多个子模式,其中每个子模式包含足够的信息以使用基于特征的搜索方法来定位,其中该信息已被预先评估为有用的并且特别适用于运行基于特征的搜索。
    • 4. 发明申请
    • Method for partitioning a pattern into optimized sub-patterns
    • 将模式划分为优化子模式的方法
    • US20050117801A1
    • 2005-06-02
    • US10625201
    • 2003-07-22
    • Jason DavisJuha Koljonen
    • Jason DavisJuha Koljonen
    • G06K9/34G06K9/46G06T5/00G06T7/00
    • G06T7/0042G06K9/469G06T7/12G06T7/162G06T7/73
    • A method is provided for dividing a pattern into a plurality of sub-patterns, each sub-pattern being adapted for use with an image search method that can provide a plurality of sub-pattern search results. The method represents the pattern as a plurality of feature points, generates candidate partitions of the plurality of feature points, and then scores the candidate partitions by examining characteristics of each potential sub-pattern of each candidate partition. The highest-scoring partition is selected, and then it is applied to the plurality of feature points, creating one or more sub-pluralities of features. The invention advantageously provides a plurality of sub-patterns where each sub-pattern contains enough information to be located with a feature-based search method, where that information has been pre-evaluated as being useful and particularly adapted for running feature-based searches.
    • 提供了一种用于将图案划分成多个子图案的方法,每个子图案适于与能够提供多个子图案搜索结果的图像搜索方法一起使用。 该方法表示作为多个特征点的图案,生成多个特征点的候选分区,然后通过检查每个候选分区的每个潜在子模式的特征来对候选分区进行分数。 选择最高分数分区,然后将其应用于多个特征点,创建一个或多个子多个特征。 本发明有利地提供了多个子模式,其中每个子模式包含足够的信息以使用基于特征的搜索方法来定位,其中该信息已被预先评估为有用的并且特别适用于运行基于特征的搜索。
    • 5. 发明授权
    • Method for partitioning a pattern into optimized sub-patterns
    • 将模式划分为优化子模式的方法
    • US08081820B2
    • 2011-12-20
    • US10625201
    • 2003-07-22
    • Jason DavisJuha Koljonen
    • Jason DavisJuha Koljonen
    • G06K9/34G06K9/46G06K9/66
    • G06T7/0042G06K9/469G06T7/12G06T7/162G06T7/73
    • A method is provided for dividing a pattern into a plurality of sub-patterns, each sub-pattern being adapted for use with an image search method that can provide a plurality of sub-pattern search results. The method represents the pattern as a plurality of feature points, generates candidate partitions of the plurality of feature points, and then scores the candidate partitions by examining characteristics of each potential sub-pattern of each candidate partition. The highest-scoring partition is selected, and then it is applied to the plurality of feature points, creating one or more sub-pluralities of features. The invention advantageously provides a plurality of sub-patterns where each sub-pattern contains enough information to be located with a feature-based search method, where that information has been pre-evaluated as being useful and particularly adapted for running feature-based searches.
    • 提供了一种用于将图案划分成多个子图案的方法,每个子图案适于与能够提供多个子图案搜索结果的图像搜索方法一起使用。 该方法表示作为多个特征点的图案,生成多个特征点的候选分区,然后通过检查每个候选分区的每个潜在子模式的特征来对候选分区进行分数。 选择最高分数分区,然后将其应用于多个特征点,创建一个或多个子多个特征。 本发明有利地提供了多个子模式,其中每个子模式包含足够的信息以使用基于特征的搜索方法来定位,其中该信息已被预先评估为有用的并且特别适用于运行基于特征的搜索。
    • 6. 发明授权
    • Method for extracting features from an image using oriented filters
    • 使用定向滤波器从图像中提取特征的方法
    • US06983065B1
    • 2006-01-03
    • US10034066
    • 2001-12-28
    • Yusuf AkgulIvan BachelderPrabhav MorjeJuha KoljonenJason Davis
    • Yusuf AkgulIvan BachelderPrabhav MorjeJuha KoljonenJason Davis
    • G06K9/00
    • G06K9/4619
    • A method of analyzing machine vision images to identify low contrast features such as scratches or cracks on the polished ends of optical fibers. A bank of oriented filters having incremental angles of orientation are tuned to respond to the frequency characteristics of oriented scratches or cracks having an approximate width. The filters are applied to an image to generate a filter response image for each filter orientation. The set of filter response images are combined to form a single data set indicating a magnitude and angle for each pixel in the original image. Elements of the combined data set having corresponding angles and magnitudes are grouped to form contour components that can be optionally input to higher order processes.
    • 分析机器视觉图像以识别光纤的抛光端上的低对比度特征(例如划痕或裂纹)的方法。 调整具有增加的取向角的定向过滤器组以响应具有近似宽度的定向划痕或裂纹的频率特性。 滤波器被应用于图像以针对每个滤波器方向生成滤波器响应图像。 滤波器响应图像的组合以形成指示原始图像中的每个像素的大小和角度的单个数据集。 具有对应角度和幅度的组合数据集的元素被分组以形成可以可选地输入到高阶处理的轮廓分量。
    • 9. 发明申请
    • Methods for finding and characterizing a deformed pattern in an image
    • 用于查找和表征图像中的变形图案的方法
    • US20070183668A1
    • 2007-08-09
    • US11670199
    • 2007-02-01
    • Jason Davis
    • Jason Davis
    • G06K9/68G06K9/46
    • G06T7/0079G06K9/6206
    • A method is disclosed for finding a deformed pattern in an image using a plurality of sub-patterns. By advantageously restricting sub-pattern search ranges, search speed is improved, and the incidence of spurious matches is reduced. The method also quickly decides which sub-pattern result, of several potential candidates, is most likely to be the correct match for a deformed sub-pattern. Also, a method is provided for characterizing a deformed pattern in an image by using results from feature-based search tools to create a mapping that models the deformation of the pattern. A transform, selectable by a user, is fit to the results from the search tools to create a global deformation mapping. This transformation is fit only to feature points derived from matches resulting from successful sub-pattern search, without including data from areas of the pattern that were blank, not matched, or otherwise didn't contain information about the pattern's distorted location.
    • 公开了一种使用多个子图案在图像中发现变形图案的方法。 通过有利地限制子图案搜索范围,提高了搜索速度,并且减少了错配匹配的发生。 该方法还快速地确定几个潜在候选者的哪个子模式结果最有可能是变形子模式的正确匹配。 此外,提供了一种通过使用基于特征的搜索工具的结果来表征图像中的变形图案以创建对图案的变形进行建模的映射的方法。 由用户选择的变换适用于搜索工具的结果,以创建全局变形映射。 该变换仅适合于从成功的子模式搜索产生的匹配导出的特征点,而不包括来自空白,不匹配的模式的区域的数据,或者否则不包含关于模式的失真位置的信息。