Comparison and Convergence of Two Topological Models for 3D Image Segmentation - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2003

Comparison and Convergence of Two Topological Models for 3D Image Segmentation

Résumé

In this paper we compare two topological models of 3D segmented images representation. These models are based on a collaboration between a topological representation and a geometrical representation of the regions of the segmented image. In both models the description of the topology lays on topological maps with a combinatorial representation. A geometrical embedding of maps is used to describe the geometry of regions. Both models differ in the way of defining this embedding. The aim of this paper is to compare these two models from the point of view of their interest for image segmentation, and to explore the possibility and the interest of making both these models converge.
Fichier principal
Vignette du fichier
comparison-two-models-for-segmentation.pdf (203.1 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01513090 , version 1 (24-04-2017)

Identifiants

Citer

Achille Braquelaire, Guillaume Damiand, Jean-Philippe Domenger, Frédéric Vidil. Comparison and Convergence of Two Topological Models for 3D Image Segmentation. Graph-Based Representations in Pattern Recognition, Jul 2003, York, United Kingdom. pp.59-70, ⟨10.1007/3-540-45028-9_6⟩. ⟨hal-01513090⟩

Collections

CNRS UNIV-POITIERS
96 Consultations
98 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More