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

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad i Gynhadleddadolygiad gan gymheiriaid

Fersiynau electronig

Dolenni

Dangosydd eitem ddigidol (DOI)

  • Mosab Bazargani
    Universidade do Algarve, Faro
  • António Anjos
    Instituto Superior Manuel Teixeira Gomes
  • Fernando Lobo
    Universidade do Algarve, Faro
  • Ali Mollahosseini
    Universidade do Algarve, Faro
  • Hamid Shahbazkia
    Universidade do Algarve, Faro
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.

Allweddeiriau

Iaith wreiddiolSaesneg
TeitlProceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation
Man cyhoeddiNew York, NY, USA
CyhoeddwrAssociation for Computing Machinery
Tudalennau1459–1460
ISBN (Argraffiad)9781450311786
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 7 Gorff 2012
Cyhoeddwyd yn allanolIe

Cyfres gyhoeddiadau

EnwGECCO '12
CyhoeddwrAssociation for Computing Machinery
Gweld graff cysylltiadau