CASIA OpenIR  > 09年以前成果
A novel pixon-representation for image segmentation based on Markov random field
Lin, Lei1,2; Zhu, Litao2; Yang, Faguo2; Jiang, Tianzi2
Source PublicationIMAGE AND VISION COMPUTING
2008-11-01
Volume26Issue:11Pages:1507-1514
SubtypeArticle
AbstractIn 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.
KeywordImage Segmentation Pixon-representation Markov Random Field Region Labeling
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
WOS KeywordGIBBS RANDOM-FIELDS ; RECONSTRUCTION ; MODEL ; INFORMATION ; RELAXATION
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering ; Optics
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS IDWOS:000259659000006
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9620
Collection09年以前成果
Affiliation1.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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