Fuzzy mode enhancement and detection for color image segmentation

  • Authors:
  • Olivier Losson;Claudine Botte-Lecocq;Ludovic Macaire

  • Affiliations:
  • Laboratoire LAGIS (CNRS UMR), Université des Sciences et Technologies de Lille, Villeneuve d'Ascq Cédex, France;Laboratoire LAGIS (CNRS UMR), Université des Sciences et Technologies de Lille, Villeneuve d'Ascq Cédex, France;Laboratoire LAGIS (CNRS UMR), Université des Sciences et Technologies de Lille, Villeneuve d'Ascq Cédex, France

  • Venue:
  • Journal on Image and Video Processing - Color in Image and Video Processing
  • Year:
  • 2008

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Abstract

This work lies within the scope of color image segmentation by pixel classification. The classes of pixels are constructed by detecting the modes of the spatial-color compactness function, which characterizes the image by taking into account both the distribution of colors in the color space and their spatial location in the image plane. A fuzzy transformation of this function is performed, based on fuzzy morphological operators specifically designed formode detection. Experimental segmentation results, using several synthetic and benchmark images, show the interest of the proposed method.