Automatic GrabCut color Image Segmentation Based on EM Algorithm

被引:0
|
作者
Li Xiao-qi [1 ]
Li Ye-li [1 ]
Qi Ya-li [1 ]
机构
[1] Beijing Inst Graph Commun, Dept Informat Engn, Xinghua Ave Band Two, Beijing, Peoples R China
关键词
GrabCut; Expectation Maximization; Color Clustering; Gaussian Mixture model; MAXIMUM-LIKELIHOOD;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a color image segmentation method using modified GrabCut. GrabCut is considered as one of semi-automatic image segmentation techniques, since it needs user interaction to initialize segmentation process. To eliminate this inconvenience, this paper propose using Expectation Maximization Algorithm for Gaussian mixture model to replace the original initialization process and achieve automatic GrabCut. After experiment and analysis, this paper gives an evaluation over speed and accuracy, proves practicability of this modification and provide a set up for further improvement.
引用
收藏
页码:6 / 11
页数:6
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