%0 Journal Article
%T RB-K-means Based Adaptive Mean shift<br>基于RB-K平均带宽设定的Adaptive Mean shift
%A ZHAO Wan-lei
%A ZHANG Xue-jie
%A ZHAO Wan-lei
%A ZHANG Xue-jie
%A <br>赵万磊
%A 张学杰
%J 中国图象图形学报
%D 2006
%I 
%X Mean shift is an effective iterative procedure that has been used in edge preserving filtering and image segmentation. It is critical to set bandwidth properly for Iteration. However, traditional fixed bandwidth mean shift is sensitive to input data, and current variable bandwidth estimation methods are not popularly accepted for their high time complexity or inconvenience. Here a new bandwidth estimate method has been proposed, namdy, K-means is employed to estimate bandwidth for each sub-region and its effectiveness is indicated by experiments.
%K Mean shift<br>K平均
%K 图像分割
%K 图像滤波
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=2B830BB7973D487C&yid=37904DC365DD7266&vid=708DD6B15D2464E8&iid=E158A972A605785F&sid=B99A53AADE50D922&eid=CCF89C1632720843AE280030C414FA2B&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=13