Fast segmentation of retinal blood vessels using a deformable contour model

Authors:
María J. Carreira;Lucia Espona;Manuel G. Penedo;Antonio Mosquera
Affiliations:
Centro de Investigación en Tecnoloxías da Información (CITIUS), Universidade de Santiago de Compostela, Spain;Institute of Molecular Systems Biology, ETH Zürich, Switzerland;VARPA Group, Departamento de Computación, Universidade da Coruña, Spain;Departamento de Electrónica e Computación, Universidade de Santiago de Compostela, Spain
Venue:
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
Year:
2012

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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.