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

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

5 Dyfyniadau (Scopus)

Crynodeb

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).

Iaith wreiddiolSaesneg
TeitlGECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion
Tudalennau1459-1460
Nifer y tudalennau2
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2012
Digwyddiad14th International Conference on Genetic and Evolutionary Computation, GECCO'12 - Philadelphia, PA, Unol Daleithiau America
Hyd: 07 Gorff 201211 Gorff 2012

Cynhadledd

Cynhadledd14th International Conference on Genetic and Evolutionary Computation, GECCO'12
Gwlad/TiriogaethUnol Daleithiau America
DinasPhiladelphia, PA
Cyfnod07 Gorff 201211 Gorff 2012

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