计算机工程2012，Vol.38Issue(7)：179-181,3.DOI:10.3969/j.issn.1000-3428.2012.07.059
非参数图像分割算法的研究及改进
Research and Improvement of Nonparametric Image Segmentation Algorithm
摘要
Abstract
This paper improves the traditional Mixture of Dirichlet Process(MDP) nonparametric algorithm . The Markov Random Field(MRF) as spacial neighborhood is involved, and a new nonparametric image segmentation a/gorithm is constructed in this paper. Combined with MRF special neighborhood prior, the image segmentation results are smoothed and the cost of time is reduced. Comparative experiments in noisy natural images and magnetic resonance images show that the accuracy of improved algorithm is higher.关键词
图像分割/贝叶斯方法/聚类/Dirichlet过程混合/马尔可夫随机场Key words
image segmentation/ Bayesian method/ clustering/ Mixture of Dirichlet Process(MDP)/ Markov Random Field(MRF)分类
信息技术与安全科学引用本文复制引用
卢易苏,陈武凡..非参数图像分割算法的研究及改进[J].计算机工程,2012,38(7):179-181,3.基金项目
国家“973”计划基金资助项目(2010CB73250) （2010CB73250）
国家自然科学基金资助重点项目(30730036) （30730036）
