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

Mosab Bazargani*, António Dos Anjos, Fernando G. Lobo, Ali Mollahosseini, Hamid Reza Shahbazkia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

5 Citations (SciVal)

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. Copyright is held by the author/owner(s).

Original languageEnglish
Title of host publicationGECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion
Pages1459-1460
Number of pages2
DOIs
Publication statusPublished - 2012
Event14th International Conference on Genetic and Evolutionary Computation, GECCO'12 - Philadelphia, PA, United States of America
Duration: 07 Jul 201211 Jul 2012

Conference

Conference14th International Conference on Genetic and Evolutionary Computation, GECCO'12
Country/TerritoryUnited States of America
CityPhiladelphia, PA
Period07 Jul 201211 Jul 2012

Keywords

  • Affine transform
  • Genetic algorithms
  • Image registration
  • Point-pattern matching
  • Simulated binary crossover

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