Method of texture classification using dual tree complex wavelet transform and support vector machines
基于复小波和支持向量机的纹理分类法*

A novel method for texture image classification was proposed by using dual-tree complex wavelets transform and support vector machines.The dual-tree complex wavelets transform was used to decompose texture image with four levels,feature vector was generated by computing mean and standard deviation from coefficients of individual wavelet subbands.This feature vector was first used for training and later on for tesing the support vector machine classifier.The experimental setup consists of twenty texture images from the Brodatz image database,results of experimentent indicate that the presented method provide superior texture classification accuracy over other methods under the condition of limited training samples,and show the validity and the best generalization ability.