Image Segmentation Using Directionlet-domain Hidden Markov Tree Models

摘要：

In this paper, we modeled the Directionlet coefficients of an image using hidden Markov tree (HMT) model and obtained the image segmentation results using model parameter training, multi-scale likelihood computation and the background of neighborhood-based maximum posterior probability. We demonstrate the performance of the proposed method with synthetic mosaic images and SAR images. The experiment results showed that our method obtained more exact boundary and uniform regions.

关键词： Image segmentation Directionlet Hidden Markov tree(HMT) Contourlet.

作者: Jing Bai Jiaqi Zhao LC Jiao

作者单位: Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xian 710071, P.R. China

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 1615-1618

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）