[1] | J.-O. Lachaud et A. Vialard A. Esnard. Discrete deformable boundaries for 3d image segmentation. Research Report 1270-02, LaBRI, University Bordeaux 1, Talence, France, 2002. [ bib ] |
[2] |
J.-O. Lachaud and A. Vialard.
Discrete deformable boundaries for image segmentation.
Research Report 1244-00, LaBRI, Talence, France, 2000.
[ bib ]
Energy-minimizing techniques are an interesting approach to the segmentation problem. They extract image components by deforming a geometric model according to energy constraints. This paper proposes an extension to these works, which can segment arbitrarily complex image components in any dimension. The geometric model is a digital surface with which an energy is associated. The model grows inside the component to segment by following minimal energy paths. The segmentation result is obtained a posteriori by examining the energies of the successive model shapes. We validate our approach on several 2D images. Keywords: image segmentation, discrete deformable model, energy-minimization, digital surface |
[3] | A. Vialard. Simplification de contours pour la reconstruction surfacique. Technical Report 1227-99, LaBRI, Talence, France, 1999. [ bib ] |
[4] |
A. Vialard.
Chemins euclidiens : un modèle de représentation des contours
discrets.
PhD thesis, Université Bordeaux 1, France, 1996.
(en français).
[ bib ]
Keywords: |
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