%0 Journal Article
%T The selective anisotropic diffusion for noise reduction combining with kernel method<br>结合核方法的选择性各向异性扩散去噪算法
%A Liu Jianlei
%A Feng Dazheng
%A <br>刘建磊
%A 冯大政
%J 中国图象图形学报
%D 2011
%I 
%X In order to effectively preserve edges of low signal-to-noise ratio images,a kernel method-based selective anisotropic diffusion denoising algorithm is proposed.The algorithm is based on the anisotropic diffusion model of the multiphase hierarchy segmentation method.Because the image data is generally non-linearly separable,the data term of the multiphase hierarchy segmentation method is promoted from low-dimensional space to high-dimensional space by the kernel method.In the high-dimensional space the multiphase hierarchy segmentation method is applied for the image segmentation.Then,the diffusion coefficient of the P-M model is improved based on gradient information of the homogeneity region.Finally,the proposed P-M model is used to smooth noise in the homogeneity region.The experimental results show that the proposed algorithm can efficiently reduce noise while preserving edges.
%K image processing
%K image smoothing
%K anisotropic diffusion
%K kernel method<br>图像处理
%K 图像平滑
%K 各向异性扩散
%K 核方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=3D120F67FFBE1E37D89D31ECF7810ECF&yid=9377ED8094509821&vid=7801E6FC5AE9020C&iid=708DD6B15D2464E8&sid=AB65A134F4ED2A2E&eid=3F3D540C9B7906DE&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=11