An efficient unsupervised MRF image clustering method

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 研究生部

	An efficient unsupervised MRF image clustering method
	Hou, Yimin ; Guo, Lei ; Lun, Xiangmin ; Yang, Q ; Webb, G
刊名	pricai 2006: trends in artificial intelligence, proceedings
	2006
卷号	4099 页码:1216-1221
英文摘要	in this paper, a robust image segmentation method is proposed. the relationship between pixel intensities and distance between pixels are introduced to the traditional neighbourhood potential function to perform an unsupervised segmentation, the bayes information criterion (bic) is used to determine the class number, the k-means is employed to initialise the classification and calculate the mean values and variances of the classes. the segmentation is transformed to maximize a posteriori(map) procedure. then, the iterative conditional model (icm) is employed to solve the map problem. in the experiments, the proposed method is compared with other segmentation techniques, for noisy image segmentation applying on synthetic and real images. the experiment results shows that the proposed algorithm is the better choice.
WOS标题词	science & technology ; technology
类目[WOS]	computer science, artificial intelligence ; computer science, theory & methods
研究领域[WOS]	computer science
关键词[WOS]	distributions ; segmentation
收录类别	SCI ; EI ; ISTP
语种	英语
WOS记录号	WOS:000240091500164
公开日期	2015-08-18
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/25150]
专题	西安光学精密机械研究所_研究生部
作者单位	1.Northwestern Polytech Univ, Dept Automat, Xian 710072, Peoples R China 2.Acad Sinica, Xian Inst Opt & Precis Mech, Xian 710068, Peoples R China
推荐引用方式 GB/T 7714	Hou, Yimin,Guo, Lei,Lun, Xiangmin,et al. An efficient unsupervised MRF image clustering method[J]. pricai 2006: trends in artificial intelligence, proceedings,2006,4099:1216-1221.
APA	Hou, Yimin,Guo, Lei,Lun, Xiangmin,Yang, Q,&Webb, G.(2006).An efficient unsupervised MRF image clustering method.pricai 2006: trends in artificial intelligence, proceedings,4099,1216-1221.
MLA	Hou, Yimin,et al."An efficient unsupervised MRF image clustering method".pricai 2006: trends in artificial intelligence, proceedings 4099(2006):1216-1221.