Abstract
Thangka Image Retrieval System is a challenging task in Thangka image classification. The Thangka images obtained from different ways are not all true Thangka images, which may lead to the misclassification of Thangka images. Therefore, a retrieval system is needed to distinguish true and false Thangka images. Thangka has rich texture characteristics, so this paper proposes a kind of feature extraction based on gray level co-occurrence matrix (GLCM) algorithm, to extract the statistical features of the matrix of thangka image retrieval, the distinction between has obtained the good effect.
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