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|a 10.1109/83.887976
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|a eng
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|a Thévenaz, P
|e verfasserin
|4 aut
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|a Optimization of mutual information for multiresolution image registration
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|c 2000
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 28.06.2010
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|a Date Revised 11.02.2008
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a We propose a new method for the intermodal registration of images using a criterion known as mutual information. Our main contribution is an optimizer that we specifically designed for this criterion. We show that this new optimizer is well adapted to a multiresolution approach because it typically converges in fewer criterion evaluations than other optimizers. We have built a multiresolution image pyramid, along with an interpolation process, an optimizer, and the criterion itself, around the unifying concept of spline-processing. This ensures coherence in the way we model data and yields good performance. We have tested our approach in a variety of experimental conditions and report excellent results. We claim an accuracy of about a hundredth of a pixel under ideal conditions. We are also robust since the accuracy is still about a tenth of a pixel under very noisy conditions. In addition, a blind evaluation of our results compares very favorably to the work of several other researchers
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|a Journal Article
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|a Unser, M
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 9(2000), 12 vom: 15., Seite 2083-99
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|u http://dx.doi.org/10.1109/83.887976
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