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Pixon-based image segmentation with Markov random fields
Yang, FG; Jiang, TZ
2003-12-01
发表期刊IEEE TRANSACTIONS ON IMAGE PROCESSING
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
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
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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.
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