A novel pixon-representation for image segmentation based on Markov random field
文献类型：期刊论文
| 作者 | Lin, Lei1,2; Zhu, Litao2; Yang, Faguo2; Jiang, Tianzi2
|
| 刊名 | IMAGE AND VISION COMPUTING
 |
| 出版日期 | 2008-11-01 |
| 卷号 | 26期号:11页码:1507-1514 |
| 关键词 | image segmentation pixon-representation Markov random field region labeling |
| 英文摘要 | In this paper, a pixon-based image representation is proposed, which is a set of disjoint regions with variable shape and size, named pixon. These pixons combined with their attributes and adjacencies construct a graph, which represents the observed image. A Markov random field (MRF) model-based image segmentation approach using pixon-representation is then proposed, Compared with previous work on region-based and pixon-based segmentation methods, the present method has some remarkable improvements over them. Firstly, a set of significant attributes of pixons and edges are introduced into the pixon-representation. These attributes are integrated into the MRF model and the Bayesian framework to obtain a weighted pixon-based algorithm. Secondly, a criterion of GOOD pixon-representation is presented and a fast QuadTree combination (FQTC) algorithm is proposed to extract the good pixon-representation. The experimental results demonstrate that our pixon-based algorithm performs fairly well while reduces the computational cost sharply compared with the pixel-based method. (C) 2008 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics |
| 研究领域[WOS] | Computer Science ; Engineering ; Optics |
| 关键词[WOS] | GIBBS RANDOM-FIELDS ; RECONSTRUCTION ; MODEL ; INFORMATION ; RELAXATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000259659000006 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9620]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | 1.Zhejiang Univ, Dept Math, Hangzhou 310027, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Lei,Zhu, Litao,Yang, Faguo,et al. A novel pixon-representation for image segmentation based on Markov random field[J]. IMAGE AND VISION COMPUTING,2008,26(11):1507-1514. |
| APA | Lin, Lei,Zhu, Litao,Yang, Faguo,&Jiang, Tianzi.(2008).A novel pixon-representation for image segmentation based on Markov random field.IMAGE AND VISION COMPUTING,26(11),1507-1514. |
| MLA | Lin, Lei,et al."A novel pixon-representation for image segmentation based on Markov random field".IMAGE AND VISION COMPUTING 26.11(2008):1507-1514. |
入库方式： OAI收割
来源：自动化研究所
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