Title: Optic disc and optic cup segmentation in retinal images

Authors: Thamer Mitib Al Sariera; Lalitha Rangarajan

Addresses: Department of Studies in Computer Science, University of Mysore, Mysuru, India ' Department of Studies in Computer Science, University of Mysore, Mysuru, India

Abstract: Automated segmentation of the optic disc (OD) and optic cup (OC) is important for retinal image analysis and retinal diabetic retinopathy systems. For OD segmentation, this paper presents a method done in three steps that combines variance and brightness features of the OD to localise leading to increased accuracy in detecting OD rather than using just one feature. As a first step, the image is divided into non-over lapping windows. Then the brightest window with maximum variance in intensity is selected. Subsequently the circular Hough transform (CHT) is applied to get the OD segmentation. OC segmentation is done in two steps: 1) blood vessels inside the OD are eliminated and; 2) restricted region growing performed to get the OC segmentation. The efficacy of the proposed method is demonstrated using the standard benchmark DRIVE and DIARETDB1 databases and by comparing the results of proposed method and some methods in silico.

Keywords: optic disc; optic cup; retinal image; diabetic retinopathy; circular Hough transform; CHT.

DOI: 10.1504/IJMEI.2021.113391

International Journal of Medical Engineering and Informatics, 2021 Vol.13 No.2, pp.111 - 120

Received: 28 Nov 2018
Accepted: 08 Mar 2019
Published online: 03 Mar 2021 *

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