%0 Journal Article
%T Graphical models in texture analysis<br>纹理分析中的图模型
%A Yang Guan
%A Feng Guocan
%A Chen Weifu
%A Zou Xiaolin
%A <br>杨关
%A 冯国灿
%A 陈伟福
%A 邹小林
%J 中国图象图形学报
%D 2011
%I 
%X Texture is one of the important visual features in image analysis. Gaussian graphical models (GGM) have good prospective, and are applied to construct the texture model. The structure of the GGM is explored by the connection between the local Markov property of texture features and the conditional regression of Gaussian random variables. Thus, the model selection can be converted to select variables. The technique of penalty regularization provides many methods for variable selection and parameter estimation. Furthermore, the methods of penalty regularization conduct neighborhood selection and parameter estimation simultaneously. The texture feature is extracted and applied in texture analysis.
%K Gaussian graphical models
%K model selection
%K texture synthesis
%K texture classification
%K texture segmentation<br>高斯图模型
%K 模型选择
%K 纹理合成
%K 纹理分类
%K 纹理分割
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=3D120F67FFBE1E3706B02152C1E36A4C&yid=9377ED8094509821&vid=7801E6FC5AE9020C&iid=F3090AE9B60B7ED1&sid=F1D2609F60C74576&eid=BD667367F07B7EA7&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=0