Image matching as a diffusion process: an analogy with Maxwell's demons

Jean-Philippe Thirion 1
1 EPIDAURE - Medical imaging and robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In this paper, we present the concept of diffusing models to perform image-to-image matching. Having two images to match, the main idea is to consider the objects boundaries in one image as semi-permeable membranes and to let the other image, considered as a deformable grid model, diffuse through these interfaces, by the action of effectors situated within the membranes. We illustrate this concept by an analogy with Maxwell's demons. We show that this concept relates to more traditional ones, based on attraction, with an intermediate step being optical flow techniques. We use the concept of diffusing models to derive three different non-rigid matching algorithms, one using all the intensity levels in the static image, one using only contour points, and a last one operating on already segmented images. Finally, we present results with synthesized deformations and real medical images, with applications to heart motion tracking and three-dimensional inter-patients matching.
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Soumis le : mercredi 17 août 2011 - 23:34:22
Dernière modification le : samedi 27 janvier 2018 - 01:32:20
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  • HAL Id : inria-00615088, version 1



Jean-Philippe Thirion. Image matching as a diffusion process: an analogy with Maxwell's demons. Medical Image Analysis, Elsevier, 1998, 2 (3), pp.243--260. 〈inria-00615088〉



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