Improved mean shift segmentation approach for natural images

	Improved mean shift segmentation approach for natural images
	Hong, Yiping; Yi, Jianqiang; Zhao, Dongbin
刊名	APPLIED MATHEMATICS AND COMPUTATION
	2007-02-15
卷号	185 期号:2 页码:940-952
关键词	natural image segmentation mean shift mode detection density estimation
通讯作者	Hong, Yiping
英文摘要	This paper proposes an improved natural image segmentation approach that is more effective, more controllable and more stable under various backgrounds than the traditional mean shift segmentation. The proposed approach employs following four new aspects: the changeable color bandwidth, the direct density searching, the global optimization for mode merging, and the elimination of texture patches. In bandwidth selection, the optimal color bandwidth under Plug-in rule used by the traditional approach is not suitable for actual vision tasks, and a changeable color bandwidth makes it easy to control the segmentation result. The performance of the direct density searching is better than that of mean shift under the same spatial bandwidth. A global optimization criterion for mode merging stabilizes the segmentation result of different images. The elimination of texture patches mostly removes the small patches resulting from texture. In addition, after mode detection, an image is partitioned into some local patches, each of which corresponds to a local mode. These patches are got with color information, and they can be taken as the initial segmentation for further processing that is based on a global optimization criterion constructed by texture features. (c) 2006 Elsevier Inc. All rights reserved.
WOS标题词	Science & Technology ; Physical Sciences
类目[WOS]	Mathematics, Applied
研究领域[WOS]	Mathematics
关键词[WOS]	ACTIVE CONTOURS ; REGION COMPETITION ; COLOR ; GRADIENT
收录类别	SCI ; ISTP
语种	英语
WOS记录号	WOS:000245762700017
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/9432]
专题	自动化研究所_09年以前成果
作者单位	Chinese Acad Sci, Inst Automat, Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Hong, Yiping,Yi, Jianqiang,Zhao, Dongbin. Improved mean shift segmentation approach for natural images[J]. APPLIED MATHEMATICS AND COMPUTATION,2007,185(2):940-952.
APA	Hong, Yiping,Yi, Jianqiang,&Zhao, Dongbin.(2007).Improved mean shift segmentation approach for natural images.APPLIED MATHEMATICS AND COMPUTATION,185(2),940-952.
MLA	Hong, Yiping,et al."Improved mean shift segmentation approach for natural images".APPLIED MATHEMATICS AND COMPUTATION 185.2(2007):940-952.