A review:Color image segmentation based on color space

被引:0
作者
Li, Mengxin [1 ]
Hou, Dingding [1 ]
Xia, Xinghua [1 ]
Fan, Jingjing [1 ]
Xu, Weijing [1 ]
机构
[1] Shenyangjianzhu Univ, Shenyang 110168, Liaoning Provin, Peoples R China
来源
FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY III, PTS 1-3 | 2013年 / 401卷
关键词
Color image segmentation; Color space; Fuzzy approach; FCM clustering;
D O I
10.4028/www.scientific.net/AMM.401-403.1310
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
While the methods of gray image segmentation keeping innovation, researches on color image segmentation have a marked development, and the gray image segmentation provides research base for color image segmentation. At present, the problem of color image segmentation has become a fundamental one and had significant impact on both new pattern recognition algorithms and applications. In order to make the research in this field has a more comprehensive understanding, In this paper, several typical approaches are presented and discussed, and expected to seek an algorithm with better real-time and robustness. algorithm combining both SOFM and FCM clustering is selected to be better in robustness, and reduce the hassle of looking for a suitable feature space.
引用
收藏
页码:1310 / 1314
页数:5
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