Abstract
This paper presents a deformable contour based method for blood vessel segmentation in digital retinal images. The method was evaluated on the publicly available DRIVE database, widely used for this purpose, since it contains retinal images where the vascular structure has been precisely marked by experts. Method performance is comparable to other existing solutions in literature, but it reaches the result faster than the others. Its effectiveness and velocity make this blood vessel segmentation technique suitable for retinal image computer analysis such as automated screening for early diabetic retinopathy detection.
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Carreira, M.J., Espona, L., Penedo, M.G., Mosquera, A. (2012). Fast Segmentation of Retinal Blood Vessels Using a Deformable Contour Model. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31298-4_42
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DOI: https://doi.org/10.1007/978-3-642-31298-4_42
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