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Fuzzy Mode Enhancement and Detection for Color Image Segmentation

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 for mode detection. Experimental segmentation results, using several synthetic and benchmark images, show the interest of the proposed method.

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Correspondence to Olivier Losson.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Losson, O., Botte-Lecocq, C. & Macaire, L. Fuzzy Mode Enhancement and Detection for Color Image Segmentation. J Image Video Proc 2008, 542378 (2008). https://doi.org/10.1155/2008/542378

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Keywords

  • Color
  • Image Processing
  • Compactness Function
  • Pattern Recognition
  • Computer Vision