A brushlet-based feature set applied to texture classification

Authors:
Tan Shan;Xiangrong Zhang;Licheng Jiao
Affiliations:
National Key Lab for Radar Signal Processing and Institute of Intelligent, Information Processing, Xidian University, Xi'an, China;National Key Lab for Radar Signal Processing and Institute of Intelligent, Information Processing, Xidian University, Xi'an, China;National Key Lab for Radar Signal Processing and Institute of Intelligent, Information Processing, Xidian University, Xi'an, China
Venue:
CIS'04 Proceedings of the First international conference on Computational and Information Science
Year:
2004

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Abstract

The energy measures of Brushlet coefficients are proposed as features for texture classification, the performance of which to texture classification is investigated through experiments on Brodatz textures. Results indicate that the high classification accuracy can be achieved, which outperforms widely used classification methods based on wavelet.