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GECCO
2008
Springer

Image registration using genetic algorithms

13 years 4 months ago
Image registration using genetic algorithms
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. Categories and Subject Descriptors I.4.8 [Image Processing and Computer Vision]: Scene Analysis – motion, object recognition, time-varying imagery, tracking. General Terms Algorithms, Measurement, Performance, Verification. Keywords Image registration, genetic algorithm, point matching, affine transformations.
Flávio Luiz Seixas, Luiz Satoru Ochi, Aura
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2008
Where GECCO
Authors Flávio Luiz Seixas, Luiz Satoru Ochi, Aura Conci, Débora C. Muchaluat-Saade
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