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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:10[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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