%0 Journal Article
%T Contour extraction method based on improved level set and self-adaptive region growing<br>基于改进水平集和区域生长的轮廓提取方法
%A FU Ying-jie
%A ZHANG Jian
%A ZOU Ling
%A WANG Kai
%A LI Bo-lin
%A LV Xi
%A SONG Si-si
%A <br>付英杰
%A 张　剑
%A 邹　翎
%A 王　凯
%A 李柏林
%A 吕　曦
%A 宋思思
%J 计算机应用研究
%D 2012
%I 
%X This paper proposed a new level set based on target gray differences to research the human brain hippocampal slice sequences. It solved the boundary staying at the background's extreme gradient in traditional methods. In order to avoid the blindness in region growing, it put forward the processed image's standard deviation as the threshold. Then it received the hippocampus's contour. By theoretical analysis and experiment verification, this method can remove non-target parts from target efficiently, and a better segmentation result is obtained.
%K hippocampus
%K level set
%K self-adaptive region growing
%K threshold
%K contour extraction<br>海马
%K 水平集方法
%K 自适应区域生长
%K 阈值
%K 轮廓提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=3178011684088478D998115A665B99B1&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=DF92D298D3FF1E6E&sid=94C88B5D697EEAE6&eid=90D223B28BEA74B2&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10