关键词: 瓷砖纹理分类, 灰度共生矩阵, 统计几何特征, 支持向量机, 分层分类

Abstract: Existing ceramic tile classification system has been mostly only using the color feature or simple texture edge information for classification, it only works for monochromatic tiles or a simple pattern of ceramic tiles, but it is not suitable for complex patterns of ceramic tile. To solve this problem, it combines with gray co-occurrence matrix and statistical geometrical features of tile image, and puts these features into SVM for hierarchical classification. Because texture features are nonlinear, it uses SVM classifier constructed by the radial basis kernel function and the optimal parameters obtained by [K] cross validation method. It uses a lot of ceramic tile images obtained from the production line to do experiment, the results show that the method in this paper could obtain high accuracy and good classification effect.

Key words: ceramic tile texture classification, Gray-Level Co-occurrence Matrix（GLCM）, statistical geometrical features, Support Vector Machine（SVM）, hierarchical classification