Color Image Segmentation Based On Dempster-Shafer Evidence Theory

被引：0
作者：
Ben Chaabane, S. [1 ]
Sayadi, M. [2 ,3 ]
Fnaiech, F. [2 ,3 ]
Brassart, E. [3 ]
机构：
[1] ESSTT, Res Grp SICISI, 5 Av Taha Hussein, Tunis 1008, Tunisia
[2] ESSTT, SICISI, Tunis 1008, Tunisia
[3] Univ Picardie, LTI, F-80000 Amiens, France
来源：
2008 IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, VOLS 1 AND 2 | 2008年
关键词：
Segmentation; Evidence theory; Color image; Data fusion;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a color image segmentation approach based on Dempster-Shafer evidence theory is presented. The basic technique consists in combining information coming from three independent information sources for the same image. These sources correspond to the three component images R (red), G (green) and B (blue). The Dempster-Shafer theory of evidence is applied in order to fuse the information from these three sources. This method shows the spectacular ability of the evidence theory to handling uncertain, imprecise and incomplete information. The Results on cell images are presented in order to demonstrate the effectiveness of the proposed method.
引用
收藏
页码：841 / +
页数：2
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