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Color image segmentation based on mean shift mode seeking
MaJunyong; WenDesheng; YangShaodong; XuZhigang; Ma Junyong
作者部门光电跟踪与测量技术研究室
2011
发表期刊Journal of Computational Information Systems
ISSN1553-9105
卷号7期号:12页码:4193-4200
产权排序1
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.
关键词Image Segmentation Clustering Mean Shift Color Space
收录类别EI
语种英语
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/19585
专题光电跟踪与测量技术研究室
通讯作者Ma Junyong
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,&Ma Junyong.(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.
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