Thangka Image Classification Based on Sub-Block Color Histograms

被引：0

作者：

Gao, Wanpin ^{[1
]}

Wang, Weilan ^{[1
]}

Jia, Yanjun ^{[1
]}

Luo, Baojuan ^{[1
]}

机构：

[1] Northwest Univ Nationalities, Coll Math & Comp Sci, Lanzhou 730000, Gansu, Peoples R China

来源：

INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING BIOMEDICAL ENGINEERING, AND INFORMATICS (SPBEI 2013) | 2014年

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In order to overcome the defect of Thangka image classification method based on the global color histogram, which does not include the color spatial distribution information. In this paper, a different Thangka image classification approach based on sub-block color histogram is proposed. First, we divide the Thangka images into sub-blocks, extract the histogram features of every image sub-block, then identify and classify the image using histogram intersection method. Our experimental results show that this method has a higher accuracy than the method based on global color histogram.

引用

页码：1102 / 1109

页数：8

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