Improved mean shift segmentation approach for natural images

CASIA OpenIR > 09年以前成果

	Improved mean shift segmentation approach for natural images
	Hong, Yiping; Yi, Jianqiang; Zhao, Dongbin
发表期刊	APPLIED MATHEMATICS AND COMPUTATION
	2007-02-15
卷号	185 期号:2 页码:940-952
文章类型	Article
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.
关键词	Natural Image Segmentation Mean Shift Mode Detection Density Estimation
WOS标题词	Science & Technology ; Physical Sciences
关键词[WOS]	ACTIVE CONTOURS ; REGION COMPETITION ; COLOR ; GRADIENT
收录类别	SCI ; ISTP
语种	英语
WOS研究方向	Mathematics
WOS类目	Mathematics, Applied
WOS记录号	WOS:000245762700017
引用统计	被引频次：13[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/173211/9432
专题	09年以前成果
通讯作者	Hong, Yiping
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.

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文件名称/大小	文献类型	版本类型	开放类型	使用许可
2007 AMC - Improved （4683KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览