Abstract
A retinal vessel classification procedure is proposed. From the image of thinned vessel network, landmarks are extracted and classified as branching, crossover and end points. Then a vascular graph is generated. Using a stratified graph edge labeling procedure the artery/vein map is built. In a first step the graph branches near the optic disc are localized and classified. Each label is propagated along the most significant segments linked to initial vessels. The next labeling phase aims the not processed branches starting from already classified vessels. Only branches and edges at crossings are labeled. Finally, using the current labels set, the uncertain cases are solved.
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Acknowledgments
The work was done as part of research collaboration with University of Medicine and Pharmacy “Gr. T. Popa” Iaşi to analyse retinal images for early prevention of ophthalmic diseases.
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Rotaru, F., Bejinariu, SI., Niţă, C.D., Luca, R., Luca, M., Ciobanu, A. (2018). Retinal Vessel Classification Technique. In: Balas, V., Jain, L., Balas, M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-319-62524-9_37
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DOI: https://doi.org/10.1007/978-3-319-62524-9_37
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