Texture classification using wavelet transform

Abstract

This paper describes an algorithm for classifying textures using wavelet transforms. A set of subband features improves the classification performance and is used to lower the computational complexity. The performance of our algorithm classifies better than tree-structured wavelet transform methods with lower complexity. We show that the choice of wavelet basis is critical.