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Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches

Motivated by the method for color image segmentation based on intensity and hue clustering proposed in [26] we give some theoretical explanations for this method that directly follows from the natural connection between the maximum likelihood approach and Least Squares or Least Absolute Deviations clustering optimality criteria. The method is tested and illustrated on a few typical situations, such as the presence of outliers among the data.

data clustering, color image segmentation, least square, least absolute deviation

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