Bayesian learning, global competition and unsupervised image segmentation

CASIA OpenIR > 09年以前成果

	Bayesian learning, global competition and unsupervised image segmentation
	Guo, GD ; Ma, SD
发表期刊	PATTERN RECOGNITION LETTERS
	2000-02-01
卷号	21 期号:2 页码:107-116
文章类型	Article
摘要	A novel approach to unsupervised stochastic model-based image segmentation is presented and the problems of parameter estimation and image segmentation are formulated as Bayesian learning. In order to draw samples corresponding to different classes, a global competition strategy is adopted for label commitment based on the "powervalue" (PV) associated with each sample (or site). The smaller the value, the more powerful the sample to compete. Parameter estimation and image segmentation are executed in the same process. Bayesian modeling of images by Markov random fields (MRFs) makes it easy to represent the power of each site for competition. The new procedure to unsupervised image segmentation is performed on synthetic and real images to show its success. (C) 2000 Elsevier Science B.V. All rights reserved.
关键词	Bayesian Learning Global Competition Unsupervised Image Segmentation Markov Random Field Parameter Estimation
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000085423600002
引用统计	被引频次：4[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/173211/9791
专题	09年以前成果
作者单位	1.Nanyang Technol Univ, Sch Elect & Elect Engn, Intelligent Machine Res Lab, Singapore 639798, Singapore 2.CAS, NLPR, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Guo, GD,Ma, SD. Bayesian learning, global competition and unsupervised image segmentation[J]. PATTERN RECOGNITION LETTERS,2000,21(2):107-116.
APA	Guo, GD,&Ma, SD.(2000).Bayesian learning, global competition and unsupervised image segmentation.PATTERN RECOGNITION LETTERS,21(2),107-116.
MLA	Guo, GD,et al."Bayesian learning, global competition and unsupervised image segmentation".PATTERN RECOGNITION LETTERS 21.2(2000):107-116.