Detecting codimension-two objects in an image with Ginzburg-Landau models

Abstract : In this paper, we propose a new mathematical model for detecting in an image singularities of codimension greater than or equal to two. This means we want to detect isolated points in a 2-D image or points and curves in a 3-D image. We drew one's inspiration from Ginzburg-Landau (G-L) models which have proved their efficiency for modeling many phenomena in physics. We introduce the model, state its mathematical properties and give some experimental results demonstrating its capability in image processing.
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Article dans une revue
International Journal of Computer Vision, Springer Verlag, 2005, 65 (1-2), p. 29-42
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https://hal.archives-ouvertes.fr/hal-00201996
Contributeur : Jean-François Aujol <>
Soumis le : jeudi 3 janvier 2008 - 17:33:16
Dernière modification le : jeudi 9 février 2017 - 15:28:53

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  • HAL Id : hal-00201996, version 1

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Gilles Aubert, Jean-François Aujol, Laure Blanc-Féraud. Detecting codimension-two objects in an image with Ginzburg-Landau models. International Journal of Computer Vision, Springer Verlag, 2005, 65 (1-2), p. 29-42. <hal-00201996>

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