Fuzzy color-image retrieval

被引：9
|
作者：
Liang, YM
Zhai, HC [1 ]
Chavel, P
机构：
[1] Nankai Univ, Inst Modern Opt, Key Lab Informat Sci & Technol MOE, Tianjin 300071, Peoples R China
[2] Univ Paris 11, CNRS, Inst Opt, Lab Charles Fabry, F-91403 Orsay, France
来源：
OPTICS COMMUNICATIONS | 2002年 / 212卷 / 4-6期
基金：
中国国家自然科学基金;
关键词：
fuzzy relations; color-image retrieval; color histograms;
D O I：
10.1016/S0030-4018(02)02011-4
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In this paper, we propose for the first time an application of fuzzy relations in fuzzy set theory to the measure of color identity, where a membership function is used as a measure of the similarity, and a fuzzy-match of two colors is defined by the alpha-cut fuzzy relation. Besides, a fuzzy-search process of color histograms is developed for the first time to save from massive unnecessary calculations. Experimental results in the application to color-image retrieval confirm the advantages of our approach in both accuracy and efficiency of the color-image retrieval, as predicted in our theoretical analysis. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：247 / 250
页数：4
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