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
收藏
页码：1102 / 1109
页数：8
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