Color image segmentation using a semi-wrapped gaussian mixture model

Authors:
Anandarup Roy;Swapan K. Parui;Debyani Nandi;Utpal Roy
Affiliations:
CVPR Unit, Indian Statistical Institute, Kolkata, India;CVPR Unit, Indian Statistical Institute, Kolkata, India;School of Education Tech., Jadavpur University, Kolkata, India;Dept. of Computer & System Sciences, Visva-Bharati University, Santiniketan, India
Venue:
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
Year:
2011

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Abstract

This article deals with color image segmentation in the huesaturation-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.