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公开(公告)号:US09147141B2
公开(公告)日:2015-09-29
申请号:US14347316
申请日:2012-01-31
CPC分类号: G06K15/1881 , H04N1/32144 , H04N1/40062 , H04N1/405 , H04N2201/3271
摘要: A system can comprise a memory to store machine readable instructions and a processing unit to access the memory and execute the machine readable instructions. The machine readable instructions can comprise a feature set extractor to extract a feature set from each of a plurality of digital images of print samples. The feature set can be a filtered feature set that includes a feature set characterizing a printer that printed a given print sample of the print samples. The machine readable instructions can also comprise a cluster component to determine clusters of the print samples based on the feature set of each of the plurality of scanned images of the print samples. The machine readable instructions can further comprise a printer identifier to identify the printer of the print samples based on the clusters of the print samples.
摘要翻译: 系统可以包括用于存储机器可读指令的存储器和用于访问存储器并执行机器可读指令的处理单元。 机器可读指令可以包括特征集提取器,以从打印样本的多个数字图像中的每一个提取特征集。 该功能集可以是一个过滤的功能集,其中包含一个功能集,表征打印机打印样本的给定打印样本的打印机。 机器可读指令还可以包括基于打印样本的多个扫描图像中的每一个的特征集来确定打印样本的群集的群集组件。 机器可读指令还可以包括打印机标识符,以基于打印样本的聚类来识别打印样本的打印机。
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公开(公告)号:US08917930B2
公开(公告)日:2014-12-23
申请号:US13466170
申请日:2012-05-08
IPC分类号: G06K9/00
CPC分类号: G06K9/00577
摘要: Methods for selecting metrics for substrate classification, and apparatus to perform such methods. The methods include determining a value of a metric from an image of a substrate sample for each substrate sample of a plurality of substrate samples, wherein the metric is indicative of a surface texture of each substrate sample and iteratively assigning substrate samples of the plurality of substrate samples to an aggregate of a particular number of aggregates in response to a value of the metric for each substrate sample until a convergence of clustering is deemed achieved, then determining an indication of cluster tightness of the particular number of aggregates. The methods further include selecting or ignoring the metric for substrate classification in response to the indication of cluster tightness of the particular number of aggregates.
摘要翻译: 用于选择底物分类的度量的方法以及执行这些方法的装置。 所述方法包括从多个衬底样品的每个衬底样品的衬底样品的图像中确定度量的值,其中度量指示每个衬底样品的表面纹理并迭代地分配多个衬底的衬底样品 响应于每个底物样品的度量的值而将样品聚集到特定数量的聚集体,直到聚类的收敛被认为实现,然后确定特定数目的聚集体的聚类紧密度的指示。 所述方法还包括响应于特定数量的聚集体的簇紧密度的指示来选择或忽略用于底物分类的度量。
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公开(公告)号:US09165218B2
公开(公告)日:2015-10-20
申请号:US14235867
申请日:2011-09-12
CPC分类号: G06K9/6267 , G06K9/036 , G06K9/6202 , G06K9/6218
摘要: An image analyzer (120) aggregates image samples (140) into a cluster (170) based on the image samples (140) being classified from a subset of image metrics applied to a reference sample (130). The image analyzer (120) generates an image quality output (150) by analyzing a distance (180) from the cluster (180) relative to another cluster.
摘要翻译: 基于从施加到参考样本(130)的图像度量的子集分类的图像样本(140),图像分析器(120)将图像样本(140)聚集成群集(170)。 图像分析器(120)通过分析与集群(180)相对于另一个集群的距离(180)来生成图像质量输出(150)。
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公开(公告)号:US09378419B2
公开(公告)日:2016-06-28
申请号:US14364729
申请日:2012-03-16
CPC分类号: G06K9/00577 , G06K9/00536 , G06K9/46 , G06K2009/0059 , G06Q50/184
摘要: Methods, and apparatus for performing methods, for classifying an image. Methods include determining a corresponding set of metrics for each region of two or more regions of a pattern of regions of an image, and classifying the image in response to at least the corresponding set of metrics for each of the two or more regions of the pattern of regions.
摘要翻译: 用于执行方法的方法和装置,用于对图像进行分类。 方法包括确定图像区域的图案的图案的两个或更多个区域的每个区域的对应的度量集合,并且响应于该图案的两个或更多个区域中的每一个的至少对应的一组度量来对图像进行分类 的地区。
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公开(公告)号:US09218543B2
公开(公告)日:2015-12-22
申请号:US14364749
申请日:2012-04-30
CPC分类号: G06K9/6227 , G06K9/6256 , G06K9/6286
摘要: Methods, and apparatus for performing methods, for selecting a classifier engine. Methods include, for two or more portions of a set of items of known classification, classifying members of each portion using a particular classifier engine; selecting a portion of the set of items whose classifications satisfy a first criteria; classifying members of the selected portion of the set of items using two or more classifier engines; and selecting a classifier engine whose classification of the selected portion of the set of items satisfies a second criteria.
摘要翻译: 用于执行方法的方法和装置,用于选择分类器引擎。 方法包括对于一组已知分类的两个或多个部分,使用特定分类器引擎对每个部分进行分类; 选择其分类满足第一标准的一组项目的一部分; 使用两个或更多个分类引擎对所述一组项目的所选部分的成员进行分类; 以及选择所述一组项目的所选部分的分类满足第二准则的分类器引擎。
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公开(公告)号:US20150071556A1
公开(公告)日:2015-03-12
申请号:US14364749
申请日:2012-04-30
IPC分类号: G06K9/62
CPC分类号: G06K9/6227 , G06K9/6256 , G06K9/6286
摘要: Methods, and apparatus for performing methods, for selecting a classifier engine. Methods include, for two or more portions of a set of items of known classification, classifying members of each portion using a particular classifier engine; selecting a portion of the set of items whose classifications satisfy a first criteria; classifying members of the selected portion of the set of items using two or more classifier engines; and selecting a classifier engine whose classification of the selected portion of the set of items satisfies a second criteria.
摘要翻译: 用于执行方法的方法和装置,用于选择分类器引擎。 方法包括对于一组已知分类的两个或多个部分,使用特定分类器引擎对每个部分进行分类; 选择其分类满足第一标准的一组项目的一部分; 使用两个或更多个分类引擎对所述一组项目的所选部分的成员进行分类; 以及选择所述一组项目的所选部分的分类满足第二准则的分类器引擎。
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