Automatic optic disc detection in retinal fundus images based on geometric features

Abstract

Regular eye examinations are the key to limiting the vision loss caused by glaucoma and diabetic retinopathy. Optic disc (OD) detection is of vital importance in developing automated diagnosis systems for these diseases. In this work we present a method for automatic localization and boundary detection of the optic disc in retinal fundus images. In the first step, we rely on the OD geometric feature and utilize gaussian and mean curvatures for the localization of the OD. In the second step, we extract a region of interest based on the OD localization. Then, to the edges of this extracted region a circular Hough transform is applied to segment the OD boundary. The experimental results on three public datasets show the efficacy of the proposed method.