Intensity compensation within series of images

Abstract : This article addresses the problem of histogram matching in the context of medical image processing. Such a problem occurs while comparing two images of the same object, where intensity differences are due to different acquisition conditions. This can be compensated by histogram matching or equalization. To achieve this, we based our method on windowing techniques. This allows to match implicitly continuous probability density functions, yielding more robust results than the methods issued from discrete histograms.
Type de document :
Communication dans un congrès
Ellis, Randy E. and Peters, Terry M. Medical image computing and computer-assisted intervention (MICCAI 2003), 2003, Montreal, Canada, Canada. Springer, 2879, pp.41--49, 2003, LNCS
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https://hal.inria.fr/inria-00615950
Contributeur : Project-Team Asclepios <>
Soumis le : vendredi 19 août 2011 - 18:21:32
Dernière modification le : vendredi 14 décembre 2018 - 01:46:00

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  • HAL Id : inria-00615950, version 1

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Grégoire Malandain, Eric Bardinet. Intensity compensation within series of images. Ellis, Randy E. and Peters, Terry M. Medical image computing and computer-assisted intervention (MICCAI 2003), 2003, Montreal, Canada, Canada. Springer, 2879, pp.41--49, 2003, LNCS. 〈inria-00615950〉

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