Multi-initialisation segmentation with non-parametric minimum description length snake - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Electronics Letters Année : 2011

Multi-initialisation segmentation with non-parametric minimum description length snake

Nicolas Bertaux
  • Fonction : Auteur
  • PersonId : 833890
Frédéric Galland
Philippe Réfrégier
  • Fonction : Auteur
  • PersonId : 831483

Résumé

Non-parametric polygonal snakes based on the minimum description length principle allow efficient segmentation of an object in a noisy image without a priori knowledge of the probability density functions of the image grey levels. However, at very low image contrasts, the segmentation quality can be degraded owing to convergence of the snake to local minima of the optimised criterion. This phenomena is analysed, a simple and robust optimisation strategy is proposed and a fast implementation is demonstrated.
Fichier non déposé

Dates et versions

hal-00649519 , version 1 (08-12-2011)

Identifiants

  • HAL Id : hal-00649519 , version 1

Citer

Nicolas Bertaux, Frédéric Galland, Philippe Réfrégier. Multi-initialisation segmentation with non-parametric minimum description length snake. Electronics Letters, 2011, 47 (10), pp.594-595. ⟨hal-00649519⟩
48 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More