Article

A pixel-level multisensor image fusion algorithm based on fuzzy logic

Authors:

Long Zhao,

Baochang Xu,

Weilong Tang,

Zhe ChenAuthors Info & Claims

FSKD'05: Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I

Pages 717 - 720

https://doi.org/10.1007/11539506_89

Published: 27 August 2005 Publication History

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Abstract

A new multisensor image fusion algorithm based on fuzzy logic is proposed. The membership function and fuzzy rules of the new algorithm is defined using the Fuzzy Inference System (FIS) editor of fuzzy logic toolbox in Matlab 6.1. The new algorithm is applied to fuse Charge-Coupled Device (CCD) and Synthetic Aperture Rader (SAR) images. The fusion result is compared with some other fusion algorithms through some performance evaluation measures for the fusion effect, and the comparison results show that the new algorithm is effective.

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Cited By

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Dammavalam SMaddala SKrishna Prasad M(2011)Quality evaluation measures of pixel - level image fusion using fuzzy logicProceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I10.1007/978-3-642-27172-4_59(485-493)Online publication date: 19-Dec-2011
https://dl.acm.org/doi/10.1007/978-3-642-27172-4_59
Chen SSu BZhang H(2008)Feature space and metric measures for fusing multisensor imagesInternational Journal of Remote Sensing10.1080/0143116070164425329:11(3257-3270)Online publication date: 1-Jun-2008
https://dl.acm.org/doi/10.1080/01431160701644253

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Information

Published In

FSKD'05: Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I

August 2005

1323 pages

ISBN:3540283129

Editors:
Lipo Wang
School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, Singapore
,
Yaochu Jin
School of Electrical and Electronic Engineering, Honda Research Institute Europe GmbH, Offenbach/Main, Block S1, Nanyang Avenue, Germany

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Springer-Verlag

Berlin, Heidelberg

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Published: 27 August 2005

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Dammavalam SMaddala SKrishna Prasad M(2011)Quality evaluation measures of pixel - level image fusion using fuzzy logicProceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I10.1007/978-3-642-27172-4_59(485-493)Online publication date: 19-Dec-2011
https://dl.acm.org/doi/10.1007/978-3-642-27172-4_59
Chen SSu BZhang H(2008)Feature space and metric measures for fusing multisensor imagesInternational Journal of Remote Sensing10.1080/0143116070164425329:11(3257-3270)Online publication date: 1-Jun-2008
https://dl.acm.org/doi/10.1080/01431160701644253

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A New Image Fusion Algorithm Based on Fuzzy Logic

Overview of Type-2 Fuzzy Logic Systems

Neural network-based multisensor image fusion algorithm

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