Retinal Vessel Segmentation Based on Adaptive Random Sampling - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Medical and Bioengineering Année : 2013

Retinal Vessel Segmentation Based on Adaptive Random Sampling

Zhi Yan
  • Fonction : Auteur
  • PersonId : 1362688
  • IdHAL : zhi-yan
Beiji Zou
  • Fonction : Auteur
  • PersonId : 1056073
Yao Xiang
  • Fonction : Auteur
  • PersonId : 1056074

Résumé

This paper presents a method for the extraction of blood vessels from fundus images. The proposed method is an unsupervised learning method which can automatically segment retinal blood vessels based on an adaptive random sampling algorithm. This algorithm consists in taking an adequate number of random samples in fundus images, and all the samples are contracted to the position of the blood vessels, then the retinal vessels will be revealed. The basic algorithm framework is presented in this paper and several preliminary experiments validate the feasibility and effectiveness of the proposed method.
Fichier principal
Vignette du fichier
retinal-vessel-random-sampling.pdf (1.54 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02317136 , version 1 (15-10-2019)

Identifiants

Citer

Nicolas Jouandeau, Zhi Yan, Patrick Greussay, Beiji Zou, Yao Xiang. Retinal Vessel Segmentation Based on Adaptive Random Sampling. Journal of Medical and Bioengineering, 2013, ⟨10.12720/jomb.3.3.199-202⟩. ⟨hal-02317136⟩
43 Consultations
95 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More