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A Quantum-Inspired Genetic Algorithm for Multi-source Affine Image Registration

  • Hichem Talbi
  • Mohamed Batouche
  • Amer Draa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3211)

Abstract

In this paper we propose a new algorithm for image registration which is a key stage in almost every computer vision system. The algorithm is inspired from both genetic algorithms and quantum computing fields and uses the mutual information as a measure of similarity. The proposed approach is based on some concepts and principles of quantum computing such as quantum bit and states superposition. So, the definitions of the basic genetic operations have been adapted to use the new concepts. The evaluation of each solution is performed by the computation of mutual information between the reference image and the resulting image. The process aims to maximize this mutual information in order to get the best affine transformation parameters which allow the alignment of the two images.

Keywords

Genetic Algorithm Mutual Information Image Registration Quantum Algorithm Artificial Immune System 
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

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Hichem Talbi
    • 1
  • Mohamed Batouche
    • 2
  • Amer Draa
    • 2
  1. 1.USI Emir AbdelkaderConstantineAlgeria
  2. 2.Lire LaboratoryMentouri UniversityConstantineAlgeria

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