A fuzzy approach to content-based image retrieval

被引：0
|
作者：
Medasani, S [1 ]
Krishnapuram, R [1 ]
机构：
[1] Colorado Sch Mines, Dept Math & Comp Sci, Golden, CO 80401 USA
来源：
IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS, PROCEEDINGS VOL 2 | 1999年
关键词：
linguistic queries; fuzzy approach to image retrieval; content-based retrieval; graph matching;
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：
In this paper,ve present a fuzzy approach to content-based retrieval of segmented images. Our proposed methodology uses Fuzzy Attributed Relational Graphs (FARGs) and an efficient fuzzy graph matching algorithm (FGM). The graph matching algorithm is of low computational complexity and hence is suitable for content-based retrieval. Experimental results on random (sub)graph matching and content-based retrieval applications are also provided. The results indicate that the FARG-FGM framework of representing and retrieving images is efficient and accurate.
引用
收藏
页码：964 / 968
页数：5
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