%0 Journal Article
%T Level Set Methods and Its Application on Image Segmentation<br>水平集的图像分割方法综述
%A QIAN Yun
%A ZHANG Ying-jie
%A QIAN Yun
%A ZHANG Ying-jie
%A <br>钱芸
%A 张英杰
%J 中国图象图形学报
%D 2008
%I 
%X Image segmentation is a key problem in image processing. Curve evolution, which is very difficult to solve previously,was effectively handled by level set method proposed by Osher and Sethian. At present, there are so many image segmentation methods based on level set, and there are different methods to different images. Now, these methods are continually improved to enhance the speed and the veracity. So in this paper, according to the development of the image segmentation methods based on level set, this algorithm is introduced for readers of different backgrounds in this field to use.
%K level set
%K image segmentation
%K active contour model
%K Mumford-Shah model
%K multiphase<br>水平集
%K 图像分割
%K 活动轮廓模型
%K Mumford-Shah模型
%K 多相位
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=F8A3D59751ABCD50FB47F4A4E259C4EC&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=CA4FD0336C81A37A&sid=DF92D298D3FF1E6E&eid=FC0714F8D2EB605D&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=32