CONTENT-BASED IMAGE RETRIEVAL USING GENERIC FOURIER DESCRIPTOR AND GABOR FILTERS

Quan He, ZhengQiao Ji, Q. M. Jonathan Wu

2008

Abstract

Content-based image retrieval (CBIR) is an important research area with application to large amount image databases and multimedia information. CBIR has three general visual contents, including color, texture and shape. The focus of this paper is on the problem of shape and texture feature extraction and representation for CBIR. We apply Generic Fourier Descriptor (GFD) for shape feature extraction and Gabor Filters (GF) for texture feature extraction, and we successfully combine GFD and GF together for shape and texture feature extraction. Experimental results show that the proposed GFD+GF is robust to all the test databases with best retrieval rate.

References

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Paper Citation


in Harvard Style

He Q., Ji Z. and M. Jonathan Wu Q. (2008). CONTENT-BASED IMAGE RETRIEVAL USING GENERIC FOURIER DESCRIPTOR AND GABOR FILTERS . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 525-528. DOI: 10.5220/0001080105250528


in Bibtex Style

@conference{visapp08,
author={Quan He and ZhengQiao Ji and Q. M. Jonathan Wu},
title={CONTENT-BASED IMAGE RETRIEVAL USING GENERIC FOURIER DESCRIPTOR AND GABOR FILTERS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={525-528},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001080105250528},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - CONTENT-BASED IMAGE RETRIEVAL USING GENERIC FOURIER DESCRIPTOR AND GABOR FILTERS
SN - 978-989-8111-21-0
AU - He Q.
AU - Ji Z.
AU - M. Jonathan Wu Q.
PY - 2008
SP - 525
EP - 528
DO - 10.5220/0001080105250528