Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/283
Title: Co-occurrence features of multi-scale directional filter bank for texture characterization
Authors: Cheng, Kin-on
Law, Ngai-fong Bonnie
Siu, Wan-chi
Subjects: Multi-scale directional filter bank
Content based image retrieval
Texture characterization
Discrete wavelet transform
Issue Date: 2006
Publisher: IEEE
Source: 2006 IEEE International Symposium on Circuits and Systems : May 21-24, 2006, Kos International Convention Centre (KICC), Island of Kos, Greece : proceedings, p. 5499-5502
Abstract: In this paper, we propose to use co-occurrence features computed from multi-scale directional filter bank (MDFB) for texture characterization. As the filter band coefficients are localized frequency components, features from co-occurrence matrices of filter bands can characterize structures of textures by describing correlation among coefficients. Our experiments show that the co-occurrence features outperform energy features considerably in texture retrieval. In particular, they significantly improve the retrieval rate for textures with weak directionality and periodicity while still maintain a high retrieval rate for regular textures as the energy features.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/283
ISBN: 0-7803-9390-2
Appears in Collections:EIE Conference Papers & Presentations

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