Elastica Energy Regularization via Graph Cuts - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2023

Elastica Energy Regularization via Graph Cuts

Daniel Martins Antunes
Jacques-Olivier Lachaud
Hugues Talbot

Résumé

We propose a graph cut model to optimize bidimensional shapes with respect to the elastica energy. At each iteration our model selects the shape of minimum elastica value among a set of candidates generated by a discrete process that we call the balance coefficient flow. In this work we show how the balance coefficient flow relates with the curve-shortening flow and how our model can be included in an image segmentation pipeline. Finally, we provide a study to evaluate the effects of our model in the image segmentation task.
Fichier principal
Vignette du fichier
gf-paper.pdf (12.14 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04421328 , version 1 (27-01-2024)

Identifiants

  • HAL Id : hal-04421328 , version 1

Citer

Daniel Martins Antunes, Jacques-Olivier Lachaud, Hugues Talbot. Elastica Energy Regularization via Graph Cuts. 2023. ⟨hal-04421328⟩
34 Consultations
4 Téléchargements

Partager

Gmail Facebook X LinkedIn More