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Multimodal Image Registration with Applications to Image Fusion

Heather, Jamie P and Smith, Moira I (2005) Multimodal Image Registration with Applications to Image Fusion 7th IEEE International Conference on Information Fusion (FUSION) Vols 1 and 2. pp. 372-379.

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This paper presents an algorithm for accurately aligning two images of the same scene captured simultaneously by sensors operating in different wavebands (e.g. TV and IR). Such a setup is common in image fusion systems where the sensors are physically aligned as closely as possible and yet significant image mis-alignment remains due to differences in field of view, lens distortion and other camera characteristics. Our proposed registration method involves numerically minimising a global objective function defined in terms of local normalised correlation measures. The algorithm is demonstrated on real multimodal imagery and applications to imagefusion are considered. In particular we illustrate thatfused image quality is closely related to the degree ofregistration accuracy achieved. To maintain this accuracy in real systems it is often necessary to continuously update the transform over time. Thus we extend our registration approach to execute in real time on live imagery, providing optimal fused imagery in the presence ofrelative sensor motion andparallax effects.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
Heather, Jamie P
Smith, Moira I
Date : 2005
DOI : 10.1109/ICIF.2005.1591879
Related URLs :
Additional Information : ©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Depositing User : Melanie Hughes
Date Deposited : 07 Oct 2010 09:28
Last Modified : 31 Oct 2017 14:05

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