Fuzzy Logic Based Texture Queries for CBIR

Authors:
S. Kulkarni;B. Verma
Affiliations:
-;-
Venue:
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
Year:
2003

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Abstract

This paper presents a novel fuzzy logic based approach for the interpretation of texture queries. Tamura feature extraction technique is used to extract each texture feature of an image in the database. A term set on each Tamura feature is generated by a fuzzy clustering algorithm to pose a query in terms of natural language. The query can be expressed as a logiccombination of natural language terms and tamura feature values. The performance of thetechnique was evaluated on Brodatz texture benchmark database. Experimental results showthat the proposed technique is effective and the retrieved images indicate that those images are suitable for the specific queries.