Quadrature-based image registration method using Mutual Information

Fookes, Clinton B. & Maeder, Anthony J. (2004) Quadrature-based image registration method using Mutual Information. In IEEE International Symposium on Biomedical Imaging : From Nano to Macro, April 15-18, 2004, Arlington, Virginia.

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Mutual information (MI) is a popular entropy-based similarity measure used in the medical imaging field for multimodal registration. The basic concept behind any approach using MI is to find a transformation, which when applied to an image, will maximize the MI between two images. A common implementation of MI involves the use of Parzen windows. This process generally requires two samples of image intensities: one to estimate the underlying intensity distributions and the second to estimate the entropy. This paper presents a novel gradient-based registration algorithm (MIGH) which uses Gauss-Hermite quadrature to estimate the image entropies. The use of this technique provides an effective and efficient way of estimating entropy while bypassing the need to draw a second sample of image intensities. With this technique, it is possible to achieve similar results and registration accuracy when compared to current Parzen-basedMI techniques. These results are achieved using half the previously required sample sizes and also with an improvement in algorithm complexity.

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ID Code: 17912
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Image Registration, Mutual Information, Quadrature
DOI: 10.1109/ISBI.2004.1398641
ISBN: 0780383885
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2004 IEEE
Copyright Statement: 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.
Deposited On: 16 Feb 2009 04:33
Last Modified: 09 Jun 2010 13:23

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