%0 Journal Article
%T Texture Image Segmentation Based on Gaussian Mixture Models<br>基于高斯混合模型的纹理图像分割
%A YU Peng
%A FENG Ju fu
%A <br>余鹏
%A 封举富
%J 中国图象图形学报
%D 2005
%I 
%X In the field of image processing, Image segmentation is the basic problem. Using mixtures of!Gauss, Some people segment image by single pixel value and get poor precision and lower efficiency. For segmenting image well, in this paper, we present a texture image segmentation algorithm by image patches. It is inspired by sub space on some authors. Our experiences show that this algorithm can segment texture image a little, although it cost very much in time. Then we take mean, stand deviation, maximum, minimum and middle pixel value of image patch as features. Our algorithm segments texture image very well. Especially, it improves a lot in time.
%K image segmentation
%K texture image
%K Gaussian mixture models
%K EM algorithms<br>纹理图像
%K 分割算法
%K 高斯混合模型
%K 基于图像
%K 纹理特征
%K 分割方法
%K 图像处理
%K 图像块
%K 像素
%K 子空间
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=6E9F800055E77D0B&yid=2DD7160C83D0ACED&vid=F3090AE9B60B7ED1&iid=38B194292C032A66&sid=C1B34927D429E92F&eid=B8F8200D88DDC7D6&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=11&reference_num=12