Image surface extremal points, new feature points for image registration

Jean-Philippe Thirion 1 Serge Benayoun 1
1 EPIDAURE - Medical imaging and robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : We generalize the definition of the extremal points (EP) to image surfaces and also to hyper-surfaces in any dimensions. These feature points can be used for image analysis and image registration because their relative positions are invariant with respect to rigid transforms. In a previous paper, we have defined the extremal points of the object surface for 3D images, and we have shown how to extract those points and how to use them to perform automatically the accurate registration of 3D medical images. The extremal points of the object surface are also invariant with changes of the image dynamic, because they are intrinsic to the object surface. We show now that another kind of extremal points can be defined in 3D, from the 4D image surface (x, y, z, f(x, y, z)). We explain how to compute and extract those new extremal points and then present registration experiments, comparing the results between the use of the extremal points of the object surface and of the image surface. We conclude by showing that both methods have their own advantages, leading to the extraction of extremely precise feature points and to the reliable registration of 3D images.
Type de document :
[Research Report] RR-2003, INRIA. 1993
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Contributeur : Rapport de Recherche Inria <>
Soumis le : mercredi 24 mai 2006 - 16:03:16
Dernière modification le : jeudi 11 janvier 2018 - 16:44:49
Document(s) archivé(s) le : mardi 12 avril 2011 - 18:12:24



  • HAL Id : inria-00074669, version 1



Jean-Philippe Thirion, Serge Benayoun. Image surface extremal points, new feature points for image registration. [Research Report] RR-2003, INRIA. 1993. 〈inria-00074669〉



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