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1. 发明申请

US20090220146A1 METHOD AND APPARATUS FOR CHARACTERIZING THE FORMATION OF PAPER 审中-公开
标题翻译：用于表征纸张形成的方法和装置
公开(公告)号：US20090220146A1
公开(公告)日：2009-09-03
申请号：US12394597
申请日：2009-02-27
申请人： Armin Bauer , Marianne Kiniger
发明人： Armin Bauer , Marianne Kiniger
IPC分类号： G06K9/66
CPC分类号： G06K9/46 , G06K9/00577 , G06T7/44 , G06T2207/20076 , G06T2207/20081 , G06T2207/30124
摘要： A method for characterizing the formation of paper in which patterns and/or structures existing in the paper are automatically characterized and classified. The automatic characterization and classification includes creating a collection of paper specimens, creating a digital image of each individual specimen, digital pre-processing of the digital image where necessary, calculating different multi-dimensional features in light of the digital images or sub-ranges of the images, analyzing structure-specific groups forming in the feature space during calculation of the different multi-dimensional features and analyzing the structure-specific groups in the feature space, projecting the results of the analysis of the structure-specific groups into a—compared to the feature space—low-dimensional space for visualizing the analysis results, and drawing on the analysis results for the classification of newly added specimens. The calculation of the different multi-dimensional features takes place in light of the digital images or sub-ranges of the images on the basis of at least one of the following algorithms: relational kernel function (RKF), phase-based method, 2-point or 3-point method, or wavelets.
摘要翻译：用于表征纸张形成的方法，其中纸张中存在的图案和/或结构被自动表征和分类。自动表征和分类包括创建纸样的集合，创建每个单独样本的数字图像，在必要时数字图像的数字预处理，根据数字图像或子范围的子范围计算不同的多维特征在不同多维特征的计算过程中分析特征空间组成特征，并分析特征空间中的结构特定群体，将结构特定群体的分析结果投入比较到特征空间 - 低维空间，用于可视化分析结果，并利用新添加样本分类的分析结果。根据以下算法中的至少一种算法，根据图像的数字图像或子范围进行不同多维特征的计算：关系核函数（RKF），基于相位的方法，点或3点法，或小波。

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