Image template matching using Mutual Information and NP-Windows

Authors:
NDH Dowson;R Bowden;T Kadir
Affiliations:
University of Surrey, Guildford, GU2 7XH, UK;University of Surrey, Guildford, GU2 7XH, UK;Siemens Molecular Imaging Advanced Applications, 23-38 Hyth Bridge Street, Oxford, OX1 2EP, UK
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Year:
2006

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Cited 1

A Robust Solution to Multi-modal Image Registration by Combining Mutual Information with Multi-scale Derivatives

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I

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Abstract

A non-parametric (NP) sampling method is introduced for obtaining the joint distribution of a pair of images. This method based on NP windowing and is equivalent to sampling the images at infinite resolution. Unlike existing methods, arbitrary selection of kernels is not required and the spatial structure of images is used. NP windowing is applied to a registration application where the mutual information (MI) between a reference image and a warped template is maximised with respect to the warp parameters. In comparisons against the current state of the art MI registration methods NP windowing yielded excellent results with lower bias and improved convergence rates.