Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters

Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov

OnderzoeksoutputAcademicpeer review

80 Citaten (Scopus)
397 Downloads (Pure)


The inspection of retinal fundus images allows medical doctors to diagnose various pathologies. Computer-aided diagnosis systems can be used to assist in this process. As a first step, such systems delineate the vessel tree from the background. We propose a method for the delineation of blood vessels in retinal images that is effective for vessels of different thickness. In the proposed method, we employ a set of B-COSFIRE filters selective for vessels and vesselendings. Such a set is determined in an automatic selection process and can adapt to different applications. We compare the performance of different selection methods based upon machine learning and information theory. The results that we achieve by performing experiments on two public benchmark data sets, namely DRIVE and STARE, demonstrate the effectiveness of the proposed approach.
Originele taal-2English
Pagina's (van-tot)1137
Aantal pagina's1149
TijdschriftMachine Vision and Applications
Nummer van het tijdschrift8
StatusPublished - 27-jun.-2016

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