%0 Journal Article
%T Researches on Evaluation Methods for Image Segmentation<br>图象分割质量评价方法研究
%A HOU Ge-xian
%A BI Du-yan
%A WU Cheng-ke
%A <br>侯格贤
%A 毕笃彦
%A 吴成柯
%J 中国图象图形学报
%D 2000
%I 
%X Since different segmentation algorithms works well for different applications, quality evaluation of image segmentation is indispensable, and thus we introduce fuzzy measure into quality evaluation algorithm of image segmentation and propose a function that could change an image to the field of fuzzy property effectively. Moreover, a composite evaluation function that includes region uniformity, gray contrast, shape parameter and fuzzy measure is presented. The experiment results indicate that fuzzy measure can evaluate image segmentation quality correctly.
%K Image segmentation
%K Fuzzy sets
%K Quality evaluation<br>图象分割
%K 模糊集合
%K 质量评价
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=B6935D6BAF6B5DB7&yid=9806D0D4EAA9BED3&vid=94C357A881DFC066&iid=CA4FD0336C81A37A&sid=7C3A4C1EE6A45749&eid=BE33CC7147FEFCA4&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=17&reference_num=0