Abstract
The paper proposes a method to process blood vessel landmarks in eye fundus images. The proposed method is based on finding a shortest cycle in a weighted graph, corresponding to a set of possible tracked blood vessel slices and paths between them. In turn, the paths are found by finding a shortest path in a weighted graph, taking gradients into account. The method has been tried out with DRIVE and IOSTAR databases.
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This research was funded by a grant (No. S-MIP-17-16) from the Research Council of Lithuania.
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Patašius, M., Šimkienė, J., Sokas, D., Pranskūnas, A. (2020). Method for Finding the Limits of Blood Vessel Landmarks in Eye Fundus Images Based on Distances in Graphs: Preliminary Results. In: Henriques, J., Neves, N., de Carvalho, P. (eds) XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. MEDICON 2019. IFMBE Proceedings, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-31635-8_43
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