所属单位：

信息与控制工程学院

发表刊物：

2013 IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC)

关键字：

中文关键字：图像分割；置信度传播；马尔可夫随机场；EM算法，英文关键字：Image segmentation; Belief propagation;Markov Rand

摘要：

Belief propagation (BP) over Pairwise Markov random field (MRF) has been successfully applied to some computer vision problems. However, Conventional Pairwise MRF model is still insufficient to capture natural image statistical characteristics. To solve this problem, we proposed an adaptive MRF model for image segmentation problem. The proposed model adaptively model the local features according to local region information of the image and the local feature parameters will be efficiently estimated. Then we develop an efficient BP algorithm for image segmentation. The convergence region messages are passed among the local regions over the proposed model. Experimental results show that the proposed BP algorithm generates more accurate segmentation results, and also can efficiently restrain effect of image noise and texture mutation for segmentation.

备注：

徐胜军

合写作者：

HanJiu-qiang,ZhaoLiang,LiuGuang-hui

第一作者：

徐胜军

论文类型：

期刊论文

卷号：

卷：

期号：

期：

页面范围：

页：324-329

是否译文：

否

发表时间：

2013-12-01