%0 Journal Article
%T Color Image Retrieval Approach Using Color and SW-nonsubsampled Contourlet Texture Analysis<br>基于颜色和轮廓平稳小波变换纹理分析的彩色图像检索
%A CHEN Xiao-Hai
%A HUANG Xiao-Ling
%A <br>陈小海
%A 黄晓玲
%J 计算机系统应用
%D 2013
%I 
%X In this paper, a new color image retrieval method based on color and texture is proposed, Firstly, in order to obtain the information of spatial distribution, images are partitioned into 5 sub-images and then the color feature is extracted from RGB model and HSV model. Secondly, each image is decomposed by stationary wavelet-nonsubsampled contourlet transform (SW-NSCT) and the mean value and standard deviation of each sub-band's coefficient are computed as the texture features. The similarities of images are computed by the Euclidean's distance with weight. Experiments indicate that this algorithm can improve the searching precision effectively.
%K content-based image retrieval (CBIR)
%K color feature
%K texture feature
%K SW-NSCT<br>基于内容的图像检索(CBIR)
%K 颜色特征
%K 纹理特征
%K 非下采样轮廓平稳小波变换Web信息提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=72079A95883C28F779ED404BDECAF1C8&yid=FF7AA908D58E97FA&vid=BC12EA701C895178&iid=CA4FD0336C81A37A&sid=04445C1D2BDA24EE&eid=3F0AF5EDBC960DB0&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=13