Interactive image retrieval using fuzzy sets

被引：18
|
作者：
Frigui, H [1 ]
机构：
[1] Univ Memphis, Dept Elect & Comp Engn, Memphis, TN 38152 USA
来源：
PATTERN RECOGNITION LETTERS | 2001年 / 22卷 / 09期
关键词：
content-based image retrieval; relevance feedback; similarity measures; fuzzy integral; choquet integral; fuzzy measures;
D O I：
10.1016/S0167-8655(01)00045-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present an image retrieval system which permits the user to submit a coarse initial query and continuously refine it. The user's relevance feedbacks is modeled by fuzzy sets, and is used to discover and use the more discriminatory features for the given query. The proposed system uses a dissimilarity measure based on the fuzzy integral. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：1021 / 1031
页数：11
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