%0 Journal Article
%T New Variational Model for Image Segmentation<br>一种新变分方法在图像分割中的应用
%A LUO Zhi-hong
%A FENG Guo-can
%A <br>罗志宏
%A 冯国灿
%J 计算机科学
%D 2011
%I 
%X Due to traditional variational level set for image segmentation with slowly computing efficiency, a new varitional model(PDE) was proposed. Firstly, the energy function was modified, then the minimization problem was transformed to convex optimization problem via convex relaxation technictue,and a new auxiliary variable was introduced,at last, the additive operator splitting(AOS) numerical algorithm was applied. The effective results show that the proposed model for image segmentation is feasible and performs better than conventional variatioanl model.
%K Image segmentation
%K Level set
%K Convex relaxation technique
%K Auxiliary variable
%K AOS algorithm<br>图像分割，水平集方法，凸松弛方法，辅助变量，AOS算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17DDCED190714E79A24F35C715C6B3E7&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=59906B3B2830C2C5&sid=96A53C367B5173D7&eid=3BBCF25E1D1FC985&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0