Accurate and reliable segmentation of the optic disc in digital fundus images

Andrea Giachetti; Lucia Ballerini; Emanuele Trucco

doi:10.1117/1.JMI.1.2.024001

14 July 2014 Accurate and reliable segmentation of the optic disc in digital fundus images

Andrea Giachetti, Lucia Ballerini, Emanuele Trucco

Author Affiliations +

Journal of Medical Imaging, Vol. 1, Issue 2, 024001 (July 2014). https://doi.org/10.1117/1.JMI.1.2.024001

Abstract

We describe a complete pipeline for the detection and accurate automatic segmentation of the optic disc in digital fundus images. This procedure provides separation of vascular information and accurate inpainting of vessel-removed images, symmetry-based optic disc localization, and fitting of incrementally complex contour models at increasing resolutions using information related to inpainted images and vessel masks. Validation experiments, performed on a large dataset of images of healthy and pathological eyes, annotated by experts and partially graded with a quality label, demonstrate the good performances of the proposed approach. The method is able to detect the optic disc and trace its contours better than the other systems presented in the literature and tested on the same data. The average error in the obtained contour masks is reasonably close to the interoperator errors and suitable for practical applications. The optic disc segmentation pipeline is currently integrated in a complete software suite for the semiautomatic quantification of retinal vessel properties from fundus camera images (VAMPIRE).

Citation Download Citation

Andrea Giachetti, Lucia Ballerini, and Emanuele Trucco "Accurate and reliable segmentation of the optic disc in digital fundus images," Journal of Medical Imaging 1(2), 024001 (14 July 2014). https://doi.org/10.1117/1.JMI.1.2.024001

Published: 14 July 2014

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