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.

引用

页码：148 / 153

页数：6

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