Pixon-based image segmentation with Markov random fields

CASIA OpenIR > 09年以前成果

	Pixon-based image segmentation with Markov random fields
	Yang, FG ; Jiang, TZ
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2003-12-01
卷号	12 期号:12 页码:1552-1559
文章类型	Article
摘要	Image segmentation is an essential processing step for many image analysis applications. In this paper, we propose a novel pixon-based adaptive scale method for image segmentation. The key idea of our approach is that a pixon-based image model is combined with a Markov random field (MRF) model under a Bayesian framework. In our method, we introduce a new pixon scheme that is more suitable for image segmentation than the "fuzzy" pixon scheme. The anisotropic diffusion equation is successfully used to form the pixons in our new pixon scheme. Experimental results demonstrate that our algorithm performs fairly well and computational costs decrease dramatically compared with the pixel-based MRF algorithm.
关键词	Image Segmentation Markov Random Fields Pixon
WOS标题词	Science & Technology ; Technology
关键词[WOS]	GIBBS RANDOM-FIELDS ; UNSUPERVISED SEGMENTATION ; ACTIVE CONTOURS ; MODELS ; RECONSTRUCTION ; CLASSIFICATION ; RELAXATION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000188197500010
引用统计	被引频次：45[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/173211/9888
专题	09年以前成果
作者单位	1.Acad Sinica, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.Univ Houston, Dept Comp Sci, Houston, TX 77204 USA
推荐引用方式 GB/T 7714	Yang, FG,Jiang, TZ. Pixon-based image segmentation with Markov random fields[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2003,12(12):1552-1559.
APA	Yang, FG,&Jiang, TZ.(2003).Pixon-based image segmentation with Markov random fields.IEEE TRANSACTIONS ON IMAGE PROCESSING,12(12),1552-1559.
MLA	Yang, FG,et al."Pixon-based image segmentation with Markov random fields".IEEE TRANSACTIONS ON IMAGE PROCESSING 12.12(2003):1552-1559.