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|Title:||Co-occurrence features of multi-scale directional filter bank for texture characterization|
|Keywords:||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 How to cite?|
|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.|
|Rights:||© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
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|Appears in Collections:||Conference Paper|
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