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
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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 |
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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
An Efficient Unsuper(338KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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