Reaction-Diffusion Network For Geometric Multiscale High Speed Image Processing

Abstract : In the framework of heavy mid-level processing for high speed imaging, a nonlinear bi-dimensional network is proposed, allowing the implementation of active curve algorithms. Usually this efficient type of algorithm is prohibitive for real-time image processing due to its calculus charge and the inadequate structure for the use of serial or parallel architectures. Another kind of implementation philosophy is proposed here, by considering the active curve generated by a propagation phenomenon inspired from biological modeling. A programmable nonlinear reaction-diffusion system is proposed under front control and technological constraints. Geometric multiscale processing is presented and this opens a discussion about electronic implementation.
Type de document :
Article dans une revue
Image and Vision Computing, Elsevier, 2010, 28, pp.914-926. <10.1016/j.imavis.2009.11.008>
Liste complète des métadonnées


https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00583468
Contributeur : Sabir Jacquir <>
Soumis le : mardi 5 avril 2011 - 17:31:03
Dernière modification le : mercredi 6 avril 2011 - 07:33:08
Document(s) archivé(s) le : mercredi 6 juillet 2011 - 03:07:33

Fichier

Imavis_author_2010.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Stéphane Binczak, Tadeus Sliwa, Sabir Jacquir, Jean-Marie Bilbault. Reaction-Diffusion Network For Geometric Multiscale High Speed Image Processing. Image and Vision Computing, Elsevier, 2010, 28, pp.914-926. <10.1016/j.imavis.2009.11.008>. <hal-00583468>

Partager

Métriques

Consultations de
la notice

233

Téléchargements du document

112