DocumentCode :
2168050
Title :
Fuzzy logic based texture queries for CBIR
Author :
Kulkarni, S. ; Verma, B.
Author_Institution :
Dept. of Comput. Sci. & Math., Nipissing Univ., North Bay, Ont., Canada
fYear :
2003
fDate :
27-30 Sept. 2003
Firstpage :
223
Lastpage :
228
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 logic combination of natural language terms and tamura feature values. The performance of the technique was evaluated on Brodatz texture benchmark database. Experimental results show that the proposed technique is effective and the retrieved images indicate that those images are suitable for the specific queries.
Keywords :
content-based retrieval; feature extraction; fuzzy logic; image retrieval; image texture; query formulation; Brodatz texture benchmark database; CBIR; Tamura feature extraction technique; fuzzy clustering algorithm; fuzzy logic; image texture; natural language terms; term set; texture queries; Content based retrieval; Feature extraction; Fuzzy logic; Image analysis; Image databases; Image retrieval; Natural languages; Shape measurement; Spatial databases; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN :
0-7695-1957-1
Type :
conf
DOI :
10.1109/ICCIMA.2003.1238129
Filename :
1238129
Link To Document :
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