Image Segmentation Using a Genetic Algorithm

  • Vitoantonio Bevilacqua
  • Giuseppe Mastronardi
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 18)


In this paper we present a genetic algorithm-based optimisation technique for an automatic selecting of the thresholds in image segmentation, considering in a combined way, the parameters of the segmentation and the parameters of the pre-processing and post-processing operators. The design of a database based on the most important image’s features to generate an accurate initial population for all the needed parameters is described. The obtained performances of the designed system are then shown qualitatively.


Genetic Algorithm Image Segmentation Segmented Image Edge Image Stop Criterion 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    V.Bevilacqua, A.Sappa, M.Devy: “Improving a genetic algorithm segmentation by means of a fast edge detection technique”, ICIP 2001, Greece (2001)Google Scholar
  2. 2.
    J.S.Weszka, A.Rosenfeld Histogram Modification for Threshold Selection IEEE Transaction on SMC,. 38–52, (1979)Google Scholar
  3. 3.
    S.Wang, R.M.Haralick Automatic Multithreshold Selection Computer Vision, Graphics and Image Processing,. 46–67, (1984)Google Scholar
  4. 4.
    J.S.Weszka A Survey of Threshold Selection Techniques Computer Graphics and Image Processing,. 259–265, (1978)Google Scholar
  5. 5.
    P Zamperoni, Metodi di elaborazione digitale delle immagini, 1990, MassonGoogle Scholar
  6. 6.
    R.M.Haralick, L.G.Shapiro Image Segmentation Techniques Graphics and Image Processing,. 100–132, (1985)Google Scholar
  7. 7.
    R.M.Haralick, S.R. Sternberg, X.Zhuang, Image Analysis Using Mathematical Morphology,. Transactions on PAMI,432–549, July,(1987)Google Scholar
  8. 8.
    Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. 3rd edn. Springer-Verlag, Berlin Heidelberg New York (1996)MATHCrossRefGoogle Scholar
  9. 9.
    V. Bevilacqua, Modelli Evoluzionistici per la Visione Automatica, Ph.D. thesis (2000)Google Scholar
  10. 10.
    B.Bhanu, S.Lee, J.Ming Adaptive Image Segmentation using Genetic Algorithm IEEE Transaction su SMC,. 1543–1567, 1995Google Scholar
  11. 11.
    P.Zingaretti, A.Carbonara, P.Puliti Evolutionary Image Segmentation Proceedings ICIAP Firenze, (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Vitoantonio Bevilacqua
    • 1
  • Giuseppe Mastronardi
    • 1
  1. 1.D.E.E., Politecnico di BariBariItaly

Personalised recommendations