Color Image Segmentation Using a Semi-wrapped Gaussian Mixture Model

被引：0
|
作者：
Roy, Anandarup [1 ]
Parui, Swapan K. [1 ]
Nandi, Debyani [2 ]
Roy, Utpal
机构：
[1] Indian Stat Inst, CVPR Unit, Kolkata 700108, India
[2] Jadavpur Univ, Sch Educ Tech, Kolkata, India
来源：
PATTERN RECOGNITION AND MACHINE INTELLIGENCE | 2011年 / 6744卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article deals with color image segmentation in the hue-saturation-value space. Hue, saturation and value components are samples on a cylinder. A model for such data is provided by the semi-wrapped Gaussian distribution. Further its mixture is used to approximate the hue-saturation-value distribution. The mixture parameters are estimated using the standard EM algorithm. The results are obtained on Berkeley segmentation dataset. Comparisons are made with vM-Gauss mixture model, GMM and Mean-Shift procedures. Experimental results reveal improvement in segmentation by our method.
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收藏
页码：148 / 153
页数：6
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