Region-based active contours and sparse representations for texture segmentation.

Abstract : In this paper we propose a rigorous framework for texture image segmentation relying on region-based active contours (RBAC) and sparse texture representation. Such representations allow to efficiently describe a texture by transforming it in a dictionary of appropriate waveforms (atoms) where the texture representation coefficients are concentrated on a small set. For segmentation purposes, these atoms have to be multiscale and localized both in space and frequency, e.g. the wavelet transform. To discriminate different textures, we measure a "distance" between the non-parametric Parzen estimates of their respective sparse-representation coefficients probability density functions (pdfs). These distance measures are then used within RBAC, and we take benefit from shape derivative tools to derive the evolution speed expression of the RBAC. Our framework is applied to both supervised (with reference textures), and unsupervised texture segmentation. A series of experiments on synthetic textures illustrate the potential applicability of our method.
Type de document :
Communication dans un congrès
International Conference on Pattern Recognition, Dec 2008, Tampa, United States. 2008
Liste complète des métadonnées

Littérature citée [13 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-00317548
Contributeur : François Lecellier <>
Soumis le : mercredi 3 septembre 2008 - 15:29:43
Dernière modification le : mardi 5 juin 2018 - 10:14:42
Document(s) archivé(s) le : jeudi 3 juin 2010 - 22:27:16

Fichiers

icpr1007.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00317548, version 1

Citation

François Lecellier, Jalal M. Fadili, Stéphanie Jehan-Besson, Marinette Revenu, Gilles Aubert. Region-based active contours and sparse representations for texture segmentation.. International Conference on Pattern Recognition, Dec 2008, Tampa, United States. 2008. 〈hal-00317548〉

Partager

Métriques

Consultations de la notice

297

Téléchargements de fichiers

171