关键词: 剪切波变换, 纹理分类, 特征提取

Abstract: Two-dimensional separable wavelets have obtained successful application in texture analysis，but they extract information only in three directions，along horizontal，vertical and diagonal，so they are not very good expression for texture details.This paper proposes a method based on Discrete Shearlet Transform（DST） for texture classification.Frequency coefficients can be got at all scales and in all directions after performing DST to original image.Energy contrast is calculated from different scales and energy is weighted according to the energy contrast.Sub-band energy weighted is taken as the characteristic vector and KNN classifier is used to classify textures.The tests show that the Shearlet-based algorithm is significantly more effective than the one wavelet-based.

Key words: Shearlet transform, texture classification, feature extraction