%0 Journal Article
%T Color Image Segmentation Based t Mixture Model and Greedy EM<br>基于t混合模型和Greedy EM算法的彩色图像分割
%A WANG Hui-lan
%A CHEN Si-bao
%A LUO Bin
%A <br>汪慧兰
%A 陈思宝
%A 罗斌
%J 中国图象图形学报
%D 2007
%I 
%X To obtain more efficient performance,taking color,texture and position feature in the images as their comprehensive features,an adaptive image segmentation method is proposed based on t mixture model and Greedy EM.The parameters of t mixture are estimated by Greedy EM algorithm.Image is segmented according to Bayes minimization error principle.T mixture model is robust and Greedy EM algorithm is less sensitive to initial parameters therefore it may be converged to the global optimum.Compared to other methods on image segmentation,the proposed method can accompush improved efficienty and better experimental results.
%K Greedy EM<br>t混合模型
%K 图像分割
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=C8C7CDDAB9306AF2&yid=A732AF04DDA03BB3&vid=59906B3B2830C2C5&iid=94C357A881DFC066&sid=8047434EAE0B2346&eid=3E851F4852A9516C&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10