Image registration using genetic algorithms

Authors:
Flavio Luiz Seixas;Luiz Satoru Ochi;Aura Conci;Débora Muchaluat Saade
Affiliations:
UFF, Niteroi, Brazil;UFF, Niteroi, Brazil;UFF, Niteroi, Brazil;UFF, Niteroi, Brazil
Venue:
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Year:
2008

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Abstract

This paper addresses the image registration problem applying genetic algorithms. The image registration's objective is the definition of a mapping that best match two set of points or images. In this work the point matching problem was addressed employing a method based on nearest-neighbor. The mapping was handled by affine transformations. Experiments were conducted using three 2D synthetic point-sets with different affine transformations and noise. The results were compared against other optimization techniques. The similarity of two point-sets is measured using the Euclidean distance between matched points.