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...
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