International Conference on Image Analysis and Processing

ICIAP 2005: Image Analysis and Processing – ICIAP 2005 pp 352-359

Image Segmentation Based on Genetic Algorithms Combination

  • Vito Di Gesù
  • Giosuè Lo Bosco
Conference paper

DOI: 10.1007/11553595_43

Volume 3617 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Di Gesù V., Bosco G.L. (2005) Image Segmentation Based on Genetic Algorithms Combination. In: Roli F., Vitulano S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg

Abstract

The paper describes a new image segmentation algorithm called Combined Genetic segmentation which is based on a genetic algorithm. Here, the segmentation is considered as a clustering of pixels and a similarity function based on spatial and intensity pixel features is used. The proposed methodology starts from the assumption that an image segmentation problem can be treated as a Global Optimization Problem. The results of the image segmentations algorithm has been compared with recent existing techniques. Several experiments, performed on real images, show good performances of our approach compared to other existing methods.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Vito Di Gesù
    • 1
  • Giosuè Lo Bosco
    • 1
  1. 1.DMAUniversità di PalermoItaly