A Fuzzy Approach to Content-Based Image Retrieval

Authors:
Swarup Medasani;Raghu Krishnapuram
Affiliations:
Colorado School of Mines;Colorado School of Mines
Venue:
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
Year:
1999

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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.