DETERMINATION OF RETINAL NETWORK SKELETON THROUGH MATHEMATICAL MORPHOLOGY

Abstract : 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.
Type de document :
Communication dans un congrès
22nd European Signal Processing Conference (EUSIPCO'2014), Sep 2014, Lisbon, Portugal. 22nd European Signal Processing Conférence (EUSIPCO'2014), Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European)
Liste complète des métadonnées


https://hal-mines-paristech.archives-ouvertes.fr/hal-01536379
Contributeur : Jesus Angulo <>
Soumis le : jeudi 15 juin 2017 - 12:49:44
Dernière modification le : mardi 12 septembre 2017 - 11:41:26

Fichier

06952618.pdf
Accord explicite pour ce dépôt

Identifiants

  • HAL Id : hal-01536379, version 1

Collections

Citation

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. 22nd European Signal Processing Conférence (EUSIPCO'2014), Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European). <hal-01536379>

Partager

Métriques

Consultations de
la notice

52

Téléchargements du document

32