An efficient unsupervised MRF image clustering method
文献类型：期刊论文
| 作者 | Hou, Yimin; Guo, Lei; Lun, Xiangmin; Yang, Q; Webb, G |
| 刊名 | pricai 2006: trends in artificial intelligence, proceedings
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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