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|Title:||Co-occurrence features of multi-scale directional filter bank for texture characterization|
Law, Ngai-fong Bonnie
|Subjects:||Multi-scale directional filter bank|
Content based image retrieval
Discrete wavelet transform
|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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|Appears in Collections:||EIE Conference Papers & Presentations|
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