Level set evolution with locally linear classification for image segmentation

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 先进时空数据分析与学习

	Level set evolution with locally linear classification for image segmentation
	Wang, Ying; Xiang, Shiming; Pan, Chunhong; Wang, Lingfeng; Meng, Gaofeng
发表期刊	PATTERN RECOGNITION
	2013-06-01
卷号	46 期号:6 页码:1734-1746
文章类型	Article
摘要	This paper presents a novel local region-based level set model for image segmentation. In each local region, we define a locally weighted least squares energy to fit a linear classifier. With level set representation, these local energy functions are then integrated over the whole image domain to develop a global segmentation model. The objective function in this model is thereafter minimized via level set evolution. In this process, the parameters related to the locally linear classifier are iteratively estimated. By introducing the locally linear functions to separate background and foreground in local regions, our model not only achieves accurate segmentation results, but also is robust to initialization. Extensive experiments are reported to demonstrate that our method holds higher segmentation accuracy and more initialization robustness, compared with the classical region-based and local region-based methods. (C) 2012 Elsevier Ltd. All rights reserved.
关键词	Locally Linear Classification Active Contour Model Level Set Methods Image Segmentation
WOS标题词	Science & Technology ; Technology
关键词[WOS]	GEODESIC ACTIVE CONTOURS ; FITTING ENERGY ; MUMFORD ; MODEL ; MINIMIZATION ; FORMULATION ; TRACKING ; DRIVEN
收录类别	SCI
语种	英语
WOS研究方向	Engineering, Electrical & Electronic ; Computer Science, Artificial Intelligence
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000315369900018
引用统计	被引频次：52[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/173211/3720
专题	多模态人工智能系统全国重点实验室_先进时空数据分析与学习
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Wang, Ying,Xiang, Shiming,Pan, Chunhong,et al. Level set evolution with locally linear classification for image segmentation[J]. PATTERN RECOGNITION,2013,46(6):1734-1746.
APA	Wang, Ying,Xiang, Shiming,Pan, Chunhong,Wang, Lingfeng,&Meng, Gaofeng.(2013).Level set evolution with locally linear classification for image segmentation.PATTERN RECOGNITION,46(6),1734-1746.
MLA	Wang, Ying,et al."Level set evolution with locally linear classification for image segmentation".PATTERN RECOGNITION 46.6(2013):1734-1746.

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