Automatic retinal vessel extraction based on directional mathematical morphology and fuzzy classification

@article{Sigursson2014AutomaticRV,
  title={Automatic retinal vessel extraction based on directional mathematical morphology and fuzzy classification},
  author={Eysteinn M{\'a}r Sigurðsson and Silvia Valero and Jon Atli Benediktsson and Jocelyn Chanussot and Hugues Talbot and Einar Stef{\'a}nsson},
  journal={Pattern Recognition Letters},
  year={2014},
  volume={47},
  pages={164-171}
}
The problem of detecting blood vessels in retinal color fundus images is addressed. An unsupervised method based on the extraction of two vessel features vectors in order to detect the pixels belonging to the vessel tree is presented. The proposed vessel features rely on the contrast of vessels and their linear connectivity. The extraction of these features is performed by using advanced morphological directional filter called path openings. The resulting features are used to carry out a data… CONTINUE READING
Highly Cited
This paper has 184 citations. REVIEW CITATIONS
23 Citations
37 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 23 extracted citations

184 Citations

0501002015201620172018
Citations per Year
Semantic Scholar estimates that this publication has 184 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 37 references

Fusion d’informations en Traitement du Signal et des Images

  • I. Bloch
  • Hermes Science Publications
  • 2003
Highly Influential
3 Excerpts

Similar Papers

Loading similar papers…