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