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An adaptive texture and shape based defect classification

机译:基于自适应纹理和形状的缺陷分类

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In this paper classification of surface defects is considered. The classification system consists of several classifiers whose outputs are combined in order to produce the final classification. The self-organizing maps (SOMs) are used as classifiers. Each SOM is taught unsupervised with examples of defects. Classification is based on the internal structure and the shape characteristics of defects. Texture features from the co-occurrence matrix and the gray level histogram are used to describe the internal structure. The set of simple shape descriptors is used for shape characterization The results of experiments with base paper defects are encouraging.
机译:在本文中,考虑了表面缺陷的分类。分类系统由几个分类器组成,将它们的输出合并以产生最终分类。自组织映射(SOM)用作分类器。每个SOM在无人看管的情况下都带有缺陷示例。分类是基于缺陷的内部结构和形状特征。来自共现矩阵和灰度直方图的纹理特征用于描述内部结构。使用一组简单的形状描述符进行形状表征。带有原纸缺陷的实验结果令人鼓舞。

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