Interpretation of Fuzzy Logic For Texture Queries in CBIR

Kulkarni, S.

Interpretation of Fuzzy Logic For Texture Queries in CBIR

Files

24_paper16.new1.pdf (262.48 KB)

Date

2003

Authors

Kulkarni, S.

Publisher

The Eurographics Association

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.

        @inproceedings{10.2312:vvg.20031024
,
booktitle = {Vision, Video, and Graphics (VVG) 2003
},
editor = {Peter Hall and Philip Willis
},
title = {{Interpretation of Fuzzy Logic For Texture Queries in CBIR
}},
author = {Kulkarni, S.
},
year = {2003
},
publisher = {The Eurographics Association
},
ISBN = {3-905673-54-1
},
DOI = {10.2312/vvg.20031024
}
}