[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 ]

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