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A novel pixon-representation for image segmentation based on Markov random field
Lin, Lei1,2; Zhu, Litao2; Yang, Faguo2; Jiang, Tianzi2
2008-11-01
发表期刊IMAGE AND VISION COMPUTING
卷号26期号:11页码:1507-1514
文章类型Article
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.
关键词Image Segmentation Pixon-representation Markov Random Field Region Labeling
WOS标题词Science & Technology ; Technology ; Physical Sciences
关键词[WOS]GIBBS RANDOM-FIELDS ; RECONSTRUCTION ; MODEL ; INFORMATION ; RELAXATION
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering ; Optics
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS记录号WOS:000259659000006
引用统计
被引频次:12[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9620
专题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
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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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