Texture image segmentation based on MRMRF in Contourlet domain

摘要：

　　This paper presents a new multi-resolution Markov random field model in Contourlet domain for unsupervised texture image segmentation.In order to make full use of the merits of Contourlet transformation,we introduce the taditional MRMRF model into Contourlet domain,in a manner of variable interation between two components in the tradtional MRMRF model.Using this method,the new model can automatically estimate model parameters and produce accurate unsupervised segmentation results.The results obtained on synthetic texture images and remote sensing images demonstrate that a better segmentation is achieved by our model than the traditional MRMRF model.

关键词： Image segmentation Markov Random Field Variable interaction Countourlet Multiresolution

作者: WANG Xi-Jie ZHAO Xiao-Fan

作者单位: Computer and Information Engineering College, Anyang Normal University, Anyang, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 732-737

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）