A NICHE BASED GENETIC ALGORITHM FOR IMAGE REGISTRATION

Giuseppe Pascale, Luigi Troiano

2007

Abstract

Image registration aims to find the unknown set of transformations able to reduce two or more images to a common reference frame. Image registration can be regarded as an optimization problem, where the goal is to maximize a measure of image similarity. The measure of similarity on the overall image can be computationally expensive, leading to measure the similarity of smaller subimages. However, the reduction of subimage size results into a higher multi-modality for the optimizing function. Recent investigations have shown that genetic algorithms can address this problem. However, the simple scheme of genetic algorithms can still fall in local optima. In this paper, we explore the application of niche-oriented genetic algorithms, showing their strengths in providing a more effective image registration algorithm.

Paper Citation

in Harvard Style

Pascale G. and Troiano L. (2007). A NICHE BASED GENETIC ALGORITHM FOR IMAGE REGISTRATION . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-89-4, pages 342-347. DOI: 10.5220/0002382003420347

in Bibtex Style

@conference{iceis07,
author={Giuseppe Pascale and Luigi Troiano},
title={A NICHE BASED GENETIC ALGORITHM FOR IMAGE REGISTRATION},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2007},
pages={342-347},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002382003420347},
isbn={978-972-8865-89-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A NICHE BASED GENETIC ALGORITHM FOR IMAGE REGISTRATION
SN - 978-972-8865-89-4
AU - Pascale G.
AU - Troiano L.
PY - 2007
SP - 342
EP - 347
DO - 10.5220/0002382003420347