Fuzzy thresholding of color images using Dempster-Shafer theory

被引：0

作者：

Kurugollu, Fatih ^{[1
]}

Bouridane, Ahmed ^{[1
]}

Roula, Mohamed Ali ^{[2
]}

机构：

[1] Queens Univ Belfast, ECIT, Sch Elect Elect & Comp Sci, Belfast BT7 1NN, Antrim, North Ireland

[2] Univ Glamorgan, Dept Elect & Comp Syst Engn, Pontypridd CF37 1DL, M Glam, Wales

来源：

2007 9TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1-3 | 2007年

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper is concerned with the development of a novel color image thresholding technique using fuzzy thresholding and Dempster-Shafer's theory based fusion. The color bands of a given image are fuzzified by means of a fuzzy thresholding technique which uses an S-shape membership function and a linear index of fuzziness based fuzzy measure. The resulting fuzzy maps are used to determine the mass functions of the hypotheses representing the classes for each pixel. These hypotheses are then combined using the orthogonal sum rule of the Dempster-Shafer theory to compute the final threshold map. The results show that the proposed algorithm yields a superior performance to its counterpart methods which are based on crisp and fuzzy techniques.

引用

页码：540 / +

页数：2

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