Robust level set image segmentation via a local correntropy-based K-means clustering

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	Robust level set image segmentation via a local correntropy-based K-means clustering
	Wang, Lingfeng; Pan, Chunhong
发表期刊	PATTERN RECOGNITION
	2014-05-01
卷号	47 期号:5 页码:1917-1925
文章类型	Article
摘要	It is still a challenging task to segment real-world images, since they are often distorted by unknown noise and intensity inhomogeneity. To address these problems, we propose a novel segmentation algorithm via a local correntropy-based K-means (LCK) clustering. Due to the correntropy criterion, the clustering algorithm can decrease the weights of the samples that are away from their clusters. As a result, LCK based clustering algorithm can be robust to the outliers. The proposed LCK clustering algorithm is incorporated into the region-based level set segmentation framework. The iteratively re-weighted algorithm is used to solve the LCK based level set segmentation method. Extensive experiments on synthetic and real images are provided to evaluate our method, showing significant improvements on both noise sensitivity and segmentation accuracy, as compared with the state-of-the-art approaches. (C) 2013 Elsevier Ltd. All rights reserved.
关键词	Image Segmentation Level Set Correntropy-based K-means
WOS标题词	Science & Technology ; Technology
关键词[WOS]	GEODESIC ACTIVE CONTOURS ; SHAPE PRIORS ; FITTING ENERGY ; MODEL ; CLASSIFICATION ; MINIMIZATION ; FORMULATION ; ALGORITHMS ; FRAMEWORK ; EVOLUTION
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:000331667400012
引用统计	被引频次：124[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/173211/3719
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, NLPR, 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, Lingfeng,Pan, Chunhong. Robust level set image segmentation via a local correntropy-based K-means clustering[J]. PATTERN RECOGNITION,2014,47(5):1917-1925.
APA	Wang, Lingfeng,&Pan, Chunhong.(2014).Robust level set image segmentation via a local correntropy-based K-means clustering.PATTERN RECOGNITION,47(5),1917-1925.
MLA	Wang, Lingfeng,et al."Robust level set image segmentation via a local correntropy-based K-means clustering".PATTERN RECOGNITION 47.5(2014):1917-1925.

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