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
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ISSN | 1553-9105 |
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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