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Kohonen’s Maps for Contour and “Region-Like” Segmentation of Gray Level and Color Images

  • René Natowicz
  • Lothar Bergen
  • Bruno Gas

Abstract

One propounds two methods of image contour segmentation based on the tonotopy property of Kohonen’s self-organizing maps (SOM). The first method consists in quantizing the set of gray levels of the image by making use of a one dimensional SOM, then detecting the spatial discontinuities of the involved mapping of quantized gray levels onto map’s cells. The same method brings color image segmentation when quantizing the color values of the image by making use of a three dimensional SOM. This first method is multiresolution acording to gray level or color accuracy. Examples of gray level and color image segmentations illustrate its outcome.

The second method presented consists in quantizing the set of spatial and gray level pixel coordinates by a three dimensional SOM. This quantization brings a “region-like” pixel clustering out of which one computes contour segmentation of the image. This method is monoresolution and yelds contour segmentations less noisy than the one obtained by the first method. This second method is illultrated by an example of gray level image segmentation.

Keywords

Gray Level Gray Level Image Quantization Mapping Segmentation Point Color Image Segmentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    T. Kohonen, “Self-organization and associative memory”, Springer-Verlag Berlin, 1984.Google Scholar
  2. 2.
    T. Kohonen, “The self-organizing feature map”; proceedings of the I.E.E.E., vol. 78, n. 9, September 1990.Google Scholar
  3. 3.
    R. Natowicz, R. Sokol, “Self-organizing feature maps for image segmentation”, I.W.A.N.N.’93, lecture notes in computer science, vol. 686, Springer-Verlag, 1993.Google Scholar
  4. 4.
    R. Natowicz, “Segmentation d’images par cartes de Kohonen”, colloque Gretsi, Juan les Pins, 1993.Google Scholar

Copyright information

© Springer-Verlag/Wien 1995

Authors and Affiliations

  • René Natowicz
    • 1
  • Lothar Bergen
    • 1
  • Bruno Gas
    • 2
  1. 1.E.S.I.E.E.Noisy le Grand cedexFrance
  2. 2.E.N.S.E.A.Cergy-Pontoise cedexFrance

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