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Near Infrared and Visible Image Registration Using Whale Optimization Algorithm

Near Infrared and Visible Image Registration Using Whale Optimization Algorithm

Sanjeev Saxena, Mausumi Pohit
Copyright: © 2022 |Volume: 13 |Issue: 1 |Pages: 14
ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781799885405|DOI: 10.4018/IJAMC.2022010109
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MLA

Saxena, Sanjeev, and Mausumi Pohit. "Near Infrared and Visible Image Registration Using Whale Optimization Algorithm." IJAMC vol.13, no.1 2022: pp.1-14. http://doi.org/10.4018/IJAMC.2022010109

APA

Saxena, S. & Pohit, M. (2022). Near Infrared and Visible Image Registration Using Whale Optimization Algorithm. International Journal of Applied Metaheuristic Computing (IJAMC), 13(1), 1-14. http://doi.org/10.4018/IJAMC.2022010109

Chicago

Saxena, Sanjeev, and Mausumi Pohit. "Near Infrared and Visible Image Registration Using Whale Optimization Algorithm," International Journal of Applied Metaheuristic Computing (IJAMC) 13, no.1: 1-14. http://doi.org/10.4018/IJAMC.2022010109

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Abstract

This paper reports the use of a nature-inspired metaheuristic algorithm known as ‘Whale Optimization Algorithm’ (WOA) for multimodal image registration. WOA is based on the hunting behaviour of Humpback whales and provides better exploration and exploitation of the search space with small possibility of trapping in local optima. Though WOA is used in various optimization problems, no detailed study is available for its use in image registration. For this study different sets of NIR and visible images are considered. The registration results are compared with the other state of the art image registration methods. The results show that WOA is a very competitive algorithm for NIR-visible image registration. With the advantages of better exploration of search space and local optima avoidance, the algorithm can be a suitable choice for multimodal image registration.