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	IMAGE SEGMENTATION WITH THE COMPETITIVE LEARNING BASED MS MODEL
	Luo, Junfeng ; Ma, Jinwen
	2015
关键词	Image Segmentation Level Set Competitive Learning MS Model BSDS500 LEVEL SET APPROACH FRONTS RPCL
英文摘要	In this paper, we propose a competitive learning approach to image segmentation by coupling the Mumford-Shah (MS) model and the Distance Sensitive Rival Penalized Competitive Learning (DSRPCL) mechanism, being denoted as the DBMS model. Actually, the DBMS model with the evolution of the level set function can get highly accurate segmentation of the image by automatically detecting the appropriate number of segmented regions and overcoming the problems of vacuum and overlap. It is demonstrated by experimental results on BSDS500 that our DBMS approach can obtain the state-of-the-art segmentation result under the evaluation of ODS index.; EI; CPCI-S(ISTP); jwma@math.pku.edu.cn; 182-186; 2015-December
语种	英语
出处	EI ; SCI
出版者	2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/436415]
专题	数学科学学院
推荐引用方式 GB/T 7714	Luo, Junfeng,Ma, Jinwen. IMAGE SEGMENTATION WITH THE COMPETITIVE LEARNING BASED MS MODEL. 2015-01-01.

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