Image segmentation through using the evidence theory based data fusion technique

被引：0
|
作者：
Dromigny-Badin, A [1 ]
Zhu, YM [1 ]
Gimenez, G [1 ]
Goutte, R [1 ]
机构：
[1] INSA, CNRS, UMR 5515, CREATIS, F-69621 Villeurbanne, France
来源：
ICSP '98: 1998 FOURTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II | 1998年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An image segmentation method is presented that is based on using a pixel-level data fusion technique employing the evidence theory of Dempster-Shafer (DS). A probability mass being defined for each gray level, each couple of pixels is combined through using the Dempster's combination rule and a look-up fusion table. The segmentation procedure is iterative, and the determination of probability mass is automatic. The proposed method is illustrated with the aid of both simulations and examples on physical images. The obtained results show the interest of exploiting multiple information for image segmentation.
引用
收藏
页码：994 / 997
页数：4
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