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Multiscale texture classification using dual-tree complex wavelet transform
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DOI：10.1016/j.patrec.2008.10.006.png)
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摘要
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This paper presents a multiscale texture classifier that exploits the Gabor-like properties of the dual-tree complex wavelet transform, shift invariance and six directional subbands at each scale, and uses a feature vector comprising of a variance and an entropy at different scales of each of the directional subbands. Experimental results demonstrate its robustness against noise and a higher classification accuracy than a discrete wavelet transform based classifier. (C) 2008 Elsevier B.V. All rights reserved.
Keyword:
Texture classification
Dual-tree complex wavelet transform
Multi-resolution analysis
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3.3
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7.9K
被引数:
1.6W
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