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Authors: Veysel Aslantas and Emre Bendes

Affiliation: Erciyes University, Turkey

Keyword(s): Multi-sensor Image Fusion, Image Quality Metrics, Differential Evolution Algorithm.

Related Ontology Subjects/Areas/Topics: Image Processing ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Optimization Problems in Signal Processing ; Robotics and Automation ; Sensors Fusion ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: In this paper, a new optimised region based multi-sensor image fusion method is presented. The proposed method works on spatial domain. Differential evolution algorithm is used to optimize the contribution of the input images to fused images based on regions. The method was compared visually and quantitatively with Laplacian Pyramid (LP) and Shift-invariance Discrete Wavelet Transform (SiDWT) methods. Experimental results show that the developed method outperforms other traditional methods and can effectively improve the quality of the fused image.

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Paper citation in several formats:
Aslantas, V. and Bendes, E. (2014). Differential Evolution Algorithm Based Spatial Multi-sensor Image Fusion. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-039-0; ISSN 2184-2809, pages 718-725. DOI: 10.5220/0005056407180725

@conference{icinco14,
author={Veysel Aslantas. and Emre Bendes.},
title={Differential Evolution Algorithm Based Spatial Multi-sensor Image Fusion},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2014},
pages={718-725},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005056407180725},
isbn={978-989-758-039-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Differential Evolution Algorithm Based Spatial Multi-sensor Image Fusion
SN - 978-989-758-039-0
IS - 2184-2809
AU - Aslantas, V.
AU - Bendes, E.
PY - 2014
SP - 718
EP - 725
DO - 10.5220/0005056407180725

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