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000063070 0247_ $$2doi$$a10.1109/83.887976
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000063070 02470 $$2ISI$$a000165517200009
000063070 037__ $$aARTICLE
000063070 245__ $$aOptimization of Mutual Information for Multiresolution Image Registration
000063070 269__ $$a2000
000063070 260__ $$bIEEE$$c2000
000063070 336__ $$aJournal Articles
000063070 500__ $$a Erratum p. 2085, second column, third line, the numeric value for S is incorrect. It should read S ≅ −0.811 instead of S ≅ −0.865.
000063070 520__ $$9eng$$a We propose a new method for the intermodal registration of images using a criterion known as mutual information. Our main contribution is an optimizer that we specifically designed for this criterion. We show that this new optimizer is well adapted to a multiresolution approach because it typically converges in fewer criterion evaluations than other optimizers. We have built a multiresolution image pyramid, along with an interpolation process, an optimizer, and the criterion itself, around the unifying concept of spline-processing. This ensures coherence in the way we model data and yields good performance. We have tested our approach in a variety of experimental conditions and report excellent results. We claim an accuracy of about a hundredth of a pixel under ideal conditions. We are also robust since the accuracy is still about a tenth of a pixel under very noisy conditions. In addition, a blind evaluation of our results compares very favorably to the work of several other researchers.
000063070 6531_ $$aInterpolation
000063070 700__ $$0240172$$g115226$$aThévenaz, P.
000063070 700__ $$aUnser, M.$$0240182$$g115227
000063070 773__ $$j9$$tIEEE Transactions on Image Processing$$k12$$q2083–2099
000063070 8564_ $$uhttp://bigwww.epfl.ch/publications/thevenaz0003.ps$$zURL
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000063070 8564_ $$uhttps://infoscience.epfl.ch/record/63070/files/thevenaz0003.pdf$$zn/a$$s1255489
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