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Article Dans Une Revue International Journal of Computer Vision Année : 2005

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

Résumé

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.

Dates et versions

hal-00201996 , version 1 (03-01-2008)

Identifiants

Citer

Gilles Aubert, Jean-François Aujol, Laure Blanc-Féraud. Detecting codimension-two objects in an image with Ginzburg-Landau models. International Journal of Computer Vision, 2005, 65 (1-2), p. 29-42. ⟨10.1007/s11263-005-3847-y⟩. ⟨hal-00201996⟩
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