Multiscale texture classification using dual-tree complex wavelet transform

Authors:
Turgay Celik;Tardi Tjahjadi
Affiliations:
School of Engineering, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, United Kingdom;School of Engineering, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, United Kingdom
Venue:
Pattern Recognition Letters
Year:
2009

Citing 17
Cited 7

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Abstract

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.