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A graph coloring approach for image segmentation

Author

Listed:
  • Gømez, D.
  • Montero, J.
  • Yáñez, J.
  • Poidomani, C.

Abstract

In this paper we develop a segmentation scheme for digital images based upon an iterative binary coloring technique that takes into account changing behavior of adjacent pixels. The output is a hierarchical structure of images which allows a better understanding of complex images. In particular, we propose two algorithms that should be considered as image preprocessing techniques.

Suggested Citation

  • Gømez, D. & Montero, J. & Yáñez, J. & Poidomani, C., 2007. "A graph coloring approach for image segmentation," Omega, Elsevier, vol. 35(2), pages 173-183, April.
    • Handle: RePEc:eee:jomega:v:35:y:2007:i:2:p:173-183
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    References listed on IDEAS

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    1. Amo, A. & Montero, J. & Biging, G. & Cutello, V., 2004. "Fuzzy classification systems," European Journal of Operational Research, Elsevier, vol. 156(2), pages 495-507, July.
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