%0 Journal Article
%T Adaptive Weight Texture Segmentation Based on Criterion of Separability<br>基于可分离性判据的自适应加权纹理图像分割
%A GUAN Xin-ping
%A LIU Dong
%A TANG Ying-gan
%A <br>关新平
%A 刘冬
%A 唐英干
%J 计算机应用研究
%D 2005
%I 
%X In this paper, we propose an adaptive weighted method based on feature separability. We use co-occurrence matrix to extract features , then select better features according to criterion of separable, and give different feature adaptive weight to let them more efficient in clustering. Finally, experimental results show that the segmentation has less faults than before.
%K Texture Feature
%K Adaptive Weight
%K Co-occurrence Matrix
%K Separability<br>纹理特征
%K 自适应加权
%K 共生矩阵
%K 可分离性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=DC7FBC0011343774&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=708DD6B15D2464E8&sid=FD7C952458BFB5D8&eid=6CCE24D86D03D083&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11