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conference paper
Stochastic Sampling for Computing the Mutual Information of Two Images
2003
Proceedings of the Fifth International Workshop on Sampling Theory and Applications (SampTA'03)
Mutual information is an attractive registration criterion because it provides a meaningful comparison of images that represent different physical properties. In this paper, we review the shortcomings of three published methods for its computation. We identify the grid effect and the overlap problem as the most severe artifacts that these methods face, and propose a solution based on irregular sampling to solve for the grid effect. By implementing irregular sampling as stochastic sampling, we see that our solution covers the two problems at once, as the overlap problem ceases to be an issue, too.
Type
conference paper
Authors
Publication date
2003
Publisher
Published in
Proceedings of the Fifth International Workshop on Sampling Theory and Applications (SampTA'03)
Issue
Strobl, Republic of Austria
Start page
102
End page
109
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
September 18, 2015
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