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Gradient Intensity: A New Mutual Information-Based Registration Method

Shams, Ramtin; Sadeghi, Parastoo; Kennedy, Rodney


Conventional mutual information (MI)-based registration using pixel intensities is time-consuming and ignores spatial information, which can lead to misalignment. We propose a method to overcome these limitation by acquiring initial estimates of transformation parameters. We introduce the concept of 'gradient intensity' as a measure of spatial strength of an image in a given direction. We determine the rotation parameter by maximizing the MI between gradient intensity histograms. Calculation of...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Conference paper
Source: Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR 2007)
DOI: 10.1109/CVPR.2007.383425


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