Affine image registration transformation estimation using a real coded genetic algorithm with SBX

  • Authors:

  • Mosab Bazargani;António Anjos;Fernando Lobo;Ali Mollahosseini;Hamid Shahbazkia

  • Affiliations:

  • Universidade do Algarve, Faro, Portugal;Instituto Superior Manuel Teixeira Gomes, Portimão, Portugal;Universidade do Algarve, Faro, Portugal;Universidade do Algarve, Faro, Portugal;Universidade do Algarve, Faro, Portugal

  • Venue:
  • Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
  • Year:
  • 2012

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Abstract

We describe the application of a real coded genetic algorithm (GA) to align two or more 2-D images by means of image registration. The proposed search strategy is a transformation parameters-based approach involving the affine transform. The real coded GA uses Simulated Binary Crossover (SBX). In addition, we propose a new technique for matching points between a warped and static images by using a randomized ordering when visiting the points during the matching procedure. The results confirm the usefulness of the proposed noisy objective function and the suitability of SBX as a recombination operator for this type of problem.