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Détection automatique du réseau vasculaire rétinien basée sur la morphologie directionnelle et la fusion de décision
| Content Provider | Semantic Scholar |
|---|---|
| Author | Valero, Silvia Chanussot, Jocelyn Benediktsson, Jón Atli Talbot, Hugues |
| Copyright Year | 2009 |
| Abstract | In this paper, we address the problem of detecting blood vessels in retinal fundus images. We propose a method based on the construction of vessel features vectors to perfom a pixel classification between pixels belonging or not belonging to the vessel tree. A vessel feature extraction is described using advanced morphological directional filters, Path Openings. The proposed vessels features are linked to the contrast of vessels and their linear connectivity. A data fusion of these features, based on fuzzy set theory, provides a pixel classification and hence the vessels maps. Experimental results have demonstrated the ability of the proposed method to successfully extract a good quality vessel tree. |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://documents.irevues.inist.fr/bitstream/handle/2042/29112/valero_582.pdf?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
