%0 Journal Article
%T Image segmentation active contour model based on nonlocal total variation<br>基于非局部总变差的图像分割活动轮廓模型*
%A ZHANG Wen-juan
%A FENG Xiang-chu
%A <br>张文娟
%A 冯象初
%J 计算机应用研究
%D 2010
%I 
%X Based on the continuous global minimizing method for the general active contour model, this paper proposed a nonlocal active contour model having continuous global minimizing solutions by using four nonlocal total variation. Due to the nonlocal property of the model proposed here, noise could be effectively removed in the course of segmentation, and the repeated fine structures could be preserved simultaneously. Numerical experiment shows this model can segment the main structures and the fine structures very well, however many small fine structures are lost in the results of the standard active contour model.
%K image segmentation
%K active contour model
%K level set method
%K continuous global minimizing method
%K nonlocal total variation<br>图像分割
%K 活动轮廓模型
%K 水平集方法
%K 连续全局极小化方法
%K 非局部总变差
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=90EC03851DFB6C3773BE46B40EB3A35C&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=D66F6F2C904BBE27&eid=BB80B3A8BBC58235&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12