DETERMINATION OF RETINAL NETWORK SKELETON THROUGH MATHEMATICAL MORPHOLOGY - Mines Paris Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

DETERMINATION OF RETINAL NETWORK SKELETON THROUGH MATHEMATICAL MORPHOLOGY

Résumé

This paper describes a new approach to determine vas-cular skeleton in retinal images. This approach is based on mathematical morphology along with curvature evaluation. In particular, a variant of the watershed transformation, the stochastic watershed, is applied to extract the vessel center-line. Its goal is to obtain directly the skeleton of the retinal tree avoiding a previous stage of vessel segmentation in order to reduce the dependence between stages and the computational cost. Experimental results show qualitative improvements if the proposed method is compared with other state-of-the-art algorithms, above all on pathological images. Therefore , the result of this work is an efficient and effective vessel centerline extraction algorithm and can be useful for further applications and image-aided diagnosis systems.
Fichier principal
Vignette du fichier
06952618.pdf (3.26 Mo) Télécharger le fichier
Origine Accord explicite pour ce dépôt
Loading...

Dates et versions

hal-01536379 , version 1 (15-06-2017)

Identifiants

  • HAL Id : hal-01536379 , version 1

Citer

Sandra Morales, Valery Naranjo, Jesus Angulo, Fernando López-Mir, Mariano Alcañiz. DETERMINATION OF RETINAL NETWORK SKELETON THROUGH MATHEMATICAL MORPHOLOGY. 22nd European Signal Processing Conference (EUSIPCO'2014), Sep 2014, Lisbon, Portugal. ⟨hal-01536379⟩
137 Consultations
268 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More