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Multimedia Computing and Systems, International Conference on (1999)
Florence, Italy
June 7, 1999 to June 11, 1999
ISSN: 1530-2032
ISBN: 0-7695-0253-9
pp: 964
Swarup Medasani , Colorado School of Mines
Raghu Krishnapuram , Colorado School of Mines
ABSTRACT
In this paper we present a concise 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 the order O(n^2m^2) 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.
INDEX TERMS
Linguistic Queries, Fuzzy Approach to Image Retrieval, Content-Based Retrieval, Graph Matching, Image content Analysis.
CITATION

R. Krishnapuram and S. Medasani, "A Fuzzy Approach to Content-Based Image Retrieval," Multimedia Computing and Systems, International Conference on(ICMCS), Florence, Italy, 1999, pp. 964.
doi:10.1109/MMCS.1999.778620
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