A novel pixon-representation for image segmentation based on Markov random field

CASIA OpenIR > 09年以前成果

	A novel pixon-representation for image segmentation based on Markov random field
	Lin, Lei 1,2; Zhu, Litao 2; Yang, Faguo 2; Jiang, Tianzi2
发表期刊	IMAGE AND VISION COMPUTING
	2008-11-01
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
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.