%0 Journal Article
%T Method of texture classification using dual tree complex wavelet transform and support vector machines<br>基于复小波和支持向量机的纹理分类法*
%A XIE Hong sheng
%A ZHANG Hong
%A XU Xiu
%A <br>解洪胜
%A 张虹
%A 徐秀
%J 计算机应用研究
%D 2008
%I 
%X 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.
%K wavelet transform
%K dual-tree complex wavelets transform
%K feature extraction
%K support vector machine(SVM)
%K texture classification<br>小波变换
%K 二元树复小波变换
%K 特征提取
%K 支持向量机
%K 纹理分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D99045A956409036400D14709D893788&yid=67289AFF6305E306&vid=C5154311167311FE&iid=94C357A881DFC066&sid=ECF40C1D1FB7C43B&eid=E9CA94BE2885A5DD&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=21