A Brushlet-Based Feature Set Applied to Texture Classification

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. © Springer-Verlag 2004.