%0 Journal Article
%T EXTRACTION OF TRANSITION REGION AND IMAGE SEGMENTATION BASED ON LOCAL FUZZY VARIANCE<br>基于局部模糊方差的过渡区提取及图像分割
%A TIAN Yan
%A LIU Ji-Jun
%A XIE Yu-Bo
%A SHI Wen-Zhong
%A <br>田岩
%A 刘继军
%A 谢玉波
%A 史文中
%J 红外与毫米波学报
%D 2007
%I Science Press
%X To obtain a favorable segmented result of an image, a transition region method, based on the difference of local fuzzy variance between transition region and background, was proposed and used for image segmentation. First, the method to construct fuzzy variance based on fuzzy set was extended to the case of two dimensional image; second, a transition region was obtained by the local fuzzy variance; and at last the final segmented result was acquired by a multi-threshold selecting method. Experimental results show that the proposed method is robust and it can provide satisfactory segmented result.
%K image segmentation
%K transition region
%K local fuzzy variance
%K threshold<br>图像分割
%K 过渡区
%K 局部模糊方差
%K 阈值
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=2A3C5740BADC7B8F&yid=A732AF04DDA03BB3&vid=96C778EE049EE47D&iid=94C357A881DFC066&sid=B54EB62E9D3FF31E&eid=40862C82D74F7473&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=0&reference_num=9