%0 Journal Article
%T Vectorial Scale-based Image Filtering<br>基于矢量尺度的图像滤波
%A LI Yue-yang
%A WANG Shi-tong
%A <br>李岳阳
%A 王士同
%J 计算机科学
%D 2010
%I 
%X As to the filtering of medical images, it is important to preserve edges and details. A major drawback of filtering is that it often blurs important structures along with noise. Scale-based filtering methods of scalar images have been studied in recent years. In this paper, we generalized the scalcbased filtering method from scalar images to vectorial imar ges. Here we introduced three vectorial scale-based image filtering methods on the basis of conventional VMF, I3VDF,and DDF. These new methods use local structure size or "object scale" information to arrest smoothing around fine structures. I}he object scale allows us to better control the filtering process by constraining smoothing in regions with fine details while permitting effective smoothing in the interior of homogeneous regions. Qualitative and quantitative experiments based on Visible Human Project data sets demonstrate that our proposed methods outperform the corre-sponding conventional filtering methods in preserving edges and details.
%K Medical image filtering
%K Vcctorial image
%K Scale
%K Region homogcncity<br>医学图像滤波
%K 矢量图像
%K 尺度
%K 区域一致性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=9566787CF6F52A5C87AC6FCB1AD74E3A&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=9CF7A0430CBB2DFD&sid=4E6F5C60B72D9B1C&eid=7979125BBE749348&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=7