Pixon-based image segmentation with Markov random fields
文献类型：期刊论文
| 作者 | Yang, FG; Jiang, TZ
|
| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
 |
| 出版日期 | 2003-12-01 |
| 卷号 | 12期号:12页码:1552-1559 |
| 关键词 | image segmentation Markov random fields pixon |
| 英文摘要 | Image segmentation is an essential processing step for many image analysis applications. In this paper, we propose a novel pixon-based adaptive scale method for image segmentation. The key idea of our approach is that a pixon-based image model is combined with a Markov random field (MRF) model under a Bayesian framework. In our method, we introduce a new pixon scheme that is more suitable for image segmentation than the "fuzzy" pixon scheme. The anisotropic diffusion equation is successfully used to form the pixons in our new pixon scheme. Experimental results demonstrate that our algorithm performs fairly well and computational costs decrease dramatically compared with the pixel-based MRF algorithm. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | GIBBS RANDOM-FIELDS ; UNSUPERVISED SEGMENTATION ; ACTIVE CONTOURS ; MODELS ; RECONSTRUCTION ; CLASSIFICATION ; RELAXATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000188197500010 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9888]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | 1.Acad Sinica, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.Univ Houston, Dept Comp Sci, Houston, TX 77204 USA |
| 推荐引用方式 GB/T 7714 | Yang, FG,Jiang, TZ. Pixon-based image segmentation with Markov random fields[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2003,12(12):1552-1559. |
| APA | Yang, FG,&Jiang, TZ.(2003).Pixon-based image segmentation with Markov random fields.IEEE TRANSACTIONS ON IMAGE PROCESSING,12(12),1552-1559. |
| MLA | Yang, FG,et al."Pixon-based image segmentation with Markov random fields".IEEE TRANSACTIONS ON IMAGE PROCESSING 12.12(2003):1552-1559. |
入库方式： OAI收割
来源：自动化研究所
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