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An efficient unsupervised MRF image clustering method
Hou, Yimin; Guo, Lei; Lun, Xiangmin; Yang, Q; Webb, G
2006
发表期刊PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
卷号4099页码:1216-1221
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.
文章类型Article
WOS标题词Science & Technology ; Technology
收录类别SCI ; EI ; ISTP
关键词[WOS]DISTRIBUTIONS ; SEGMENTATION
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000240091500164
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/25150
专题研究生部
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
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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.
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