中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Color image segmentation based on mean shift mode seeking

文献类型:期刊论文

作者MaJunyong ; WenDesheng ; YangShaodong ; XuZhigang
刊名journal of computational information systems
出版日期2011
卷号7期号:12页码:4193-4200
关键词Image Segmentation Clustering Mean Shift Color Space
ISSN号1553-9105
产权排序1
通讯作者ma junyong
英文摘要extracting the salient regions from images plays an important role in image understanding, computer vision, pattern recognition and so on. this paper presents a color image segmentation method based on mean shift clustering to pave the way for identifying the salient objects in an image. as a widely used clustering method for segmentation, mean shift can automatically seek the modes of the underlying probability density function of an image. however, mean shift used in l*a*b* color space often results in over-segmentation. in our segmentation scheme, we choose only color information of l*a*b* color space and employ the mean shift procedures to determine all cluster centroids. then every pixel is allocated into the cluster whose cluster centroid is closest to that pixel. to demonstrate the effectiveness of the proposed scheme, we apply it to classifying synthetic images and segmenting natural images. excellent segmentation results have been obtained and it is concluded that the proposed segmentation method can overcome the problem of over-segmentation and make a big step toward the salient regions extraction.
收录类别EI
语种英语
公开日期2012-06-29
源URL[http://ir.opt.ac.cn/handle/181661/19585]  
专题西安光学精密机械研究所_光电测量技术实验室
推荐引用方式
GB/T 7714
MaJunyong,WenDesheng,YangShaodong,et al. Color image segmentation based on mean shift mode seeking[J]. journal of computational information systems,2011,7(12):4193-4200.
APA MaJunyong,WenDesheng,YangShaodong,&XuZhigang.(2011).Color image segmentation based on mean shift mode seeking.journal of computational information systems,7(12),4193-4200.
MLA MaJunyong,et al."Color image segmentation based on mean shift mode seeking".journal of computational information systems 7.12(2011):4193-4200.

入库方式: OAI收割

来源:西安光学精密机械研究所

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