Color Image Edge Detection using Dempster-Shafer Theory

被引：0
|
作者：
Zhao Chunjiang [1 ]
Deng Yong [2 ]
机构：
[1] Hefei Univ, Dept Elect Informat & Elect Engn, Hefei, Anhui, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL III, PROCEEDINGS | 2009年
基金：
中国国家自然科学基金;
关键词：
Dempster-Shafer theory; color image; edge detection;
D O I：
10.1109/AICI.2009.34
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
New color image edge detection is proposed in this paper. Dempster-Shafer theory, also known as the theory of belief function, is applied in the color image edge detection. The reason is that by selecting the mass function, Dempster-Shafer theory can distinguish the edge pixels from the uncertain edge pixels correctly. Firstly, the color image is transformed into R, G and B components; then in these three components, the edge gradient magnitude images are obtained by the Sobel operator respectively; thirdly, the mass functions are selected and the orthogonal sum is calculated; finally, the mass function of the edge probability is regarded as the edge image. From the experiment, the result could be accepted.
引用
收藏
页码：476 / +
页数：2
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