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一种基于DA-GMRF的无监督图像分割方法
引用本文:亓琳,史泽林.一种基于DA-GMRF的无监督图像分割方法[J].光电工程,2007,34(10):88-92.
作者姓名:亓琳  史泽林
作者单位:1. 中国科学院沈阳自动化研究所,辽宁,沈阳,110016;中国科学院研究生院,北京,100039
2. 中国科学院沈阳自动化研究所,辽宁,沈阳,110016
摘    要:提出一种基于间断自适应高斯马尔可夫随机场(DA-GMRF)模型的无监督图像分割方法.针对MRF模型中的过平滑问题,利用边缘信息构造能量函数,定义了一种DA-GMRF模型.利用灰度直方图势函数自动确定分类数及分割阈值,进行多阈值分割,得到DA-GMRF模型中标记场的初始化,用Metroplis采样器算法进行标记场的优化,实现了图像的无监督分割.实验结果表明了该方法的有效性.

关 键 词:图像分割  马尔可夫随机场  间断自适应  合成图像
文章编号:1003-501X(2007)10-0088-05
收稿时间:2006/12/11
修稿时间:2006-12-11

Unsupervised image segmentation based on DA-GMRF
QI Lin,SHI Ze-lin.Unsupervised image segmentation based on DA-GMRF[J].Opto-Electronic Engineering,2007,34(10):88-92.
Authors:QI Lin  SHI Ze-lin
Affiliation:1. Shenyang Institute of Automation, the Chinese Academy of Sciences, Shenyang 110016, China; 2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
Abstract:An unsupervised image segmentation method based on DA-GMRF (Discontinuity- Adaptive Gaussian Markov Random Field) model is proposed. To solve the drawback of over-smoothness in the MRF model, a kind of DA-GMRF model is defined, in which the edge information of image is used to construct corresponding energy functions. In order to start the unsupervised image segmentation, a multi-threshold image segmentation algorithm is presented based on potential function of gray histogram to initialize the label field. This algorithm can determine region number and multi-thresholds automatically. At last, Metroplis sampler algorithm is adopted to optimize the label field. Segmentation experiments on several images show that the algorithm proposed is effective.
Keywords:image segmentation  Markov random field  discontinuity-adaptive  composite image
本文献已被 CNKI 维普 万方数据 等数据库收录!
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