%0 Journal Article
%T Image segmentation approach based on GMM and Renyi entropy<br>基于高斯混合模型和Renyi熵的图像分割方法
%A HUANG Jin-jie
%A GAI Guang-jian
%A <br>黄金杰
%A 盖光建
%J 计算机应用研究
%D 2009
%I 
%X This paper firstly used the Gaussian mixture models to estimate the spatial probability distribution of image gray level values, then constructed an object function with Renyi entropy,and searched the best threshold in the scope of gray level to maximize the object function. The results of experiments show that the method has high accuracy, fine adapt ability and more stable performance.
%K GMM(Gaussian mixture models)
%K Renyi entropy
%K threshold function
%K image segmentation<br>高斯混合模型
%K Renyi熵
%K 阈值函数
%K 图像分割
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D48DA20148EE6887539BFD808A7E34EC&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=E158A972A605785F&sid=243AE565CB8D493C&eid=815F249353800F81&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=8