Knowledge Commons of Institute of Automation，CAS
| A novel pixon-representation for image segmentation based on Markov random field | |
Lin, Lei1,2; Zhu, Litao2; Yang, Faguo2; Jiang, Tianzi2
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| Source Publication | IMAGE AND VISION COMPUTING
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| 2008-11-01 | |
| Volume | 26Issue:11Pages:1507-1514 |
| Subtype | Article |
| Abstract | 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. |
| Keyword | Image Segmentation Pixon-representation Markov Random Field Region Labeling |
| WOS Headings | Science & Technology ; Technology ; Physical Sciences |
| WOS Keyword | GIBBS RANDOM-FIELDS ; RECONSTRUCTION ; MODEL ; INFORMATION ; RELAXATION |
| Indexed By | SCI |
| Language | 英语 |
| WOS Research Area | Computer Science ; Engineering ; Optics |
| WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics |
| WOS ID | WOS:000259659000006 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/9620 |
| Collection | 09年以前成果 |
| Affiliation | 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 |
| Recommended Citation 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. |
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