Pattern Recognition and Machine Intelligence

Volume 6744 of the series Lecture Notes in Computer Science pp 148-153

Color Image Segmentation Using a Semi-wrapped Gaussian Mixture Model

  • Anandarup RoyAffiliated withCVPR Unit, Indian Statistical Institute
  • , Swapan K. ParuiAffiliated withCVPR Unit, Indian Statistical Institute
  • , Debyani NandiAffiliated withSchool of Education Tech., Jadavpur University
  • , Utpal RoyAffiliated withDept. of Computer & System Sciences, Visva-Bharati University

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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.