Thangka Image Retrieval System Based on GLCM
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.
Keywords
Thangka, Texture, GLCM, Statistical features.
DOI
10.12783/dtetr/ecame2017/18398
10.12783/dtetr/ecame2017/18398
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