Title: Differential evolution variants for optic disc localisation in eye fundus images using entropy measure

Authors: Chen Zhang; B. Vinoth Kumar; Siwen Zhang; J. Prakash; Shiman Wen; Bineeshia Joel; Wenjin Li

Addresses: Shanghai Chest Hospital, Shanghai, China ' Department of Information Technology, PSG College of Technology, Coimbatore, Tamil Nadu, India ' Faculty of Life Sciences and Medicine, King's College London, UK ' Department of Computer Science and Engineering, PSG College of Technology, Coimbatore, Tamil Nadu, India ' Shanghai University of Medicine and Health Sciences, Shanghai, China ' Department of Information Technology, PSG College of Technology, Coimbatore, Tamil Nadu, India ' School of Health Science and Engineering, University of Shanghai for Science and Technology, China

Abstract: Retinal images are broadly used to expose several retinopathies like glaucoma, optic neuritis, macular degeneration related to age, and diabetic retinopathy. Computer-aided retinal image diagnoses efficiently facilitate clinicians by automating the load screening process to diagnose these conditions of which optic disc (OD) segmentation is the primary phase and categorised as a critical search problem. The proposed approach incorporates the preliminary processing of retinal fundus images and optical disc localisation using three variants of differential evolution (DE) for this application: standard differential evolution (SDE), cellular differential evolution (CDE), and unified differential evolution (UDE). To localise optic disc effectively, Entropy of an image region is proposed as a fitness function. The performance of the suggested technique is examined on two datasets: DIARETDB0 and DIARETDB1. The results suggested that the proposed methodology has achieved a 99.23% detection accuracy and demonstrates the dominance of localising the optic disc over the others.

Keywords: differential evolution; optic disc localisation; entropy; fitness function; fundus image; diabetic retinopathy; glaucoma.

DOI: 10.1504/IJISTA.2023.131572

International Journal of Intelligent Systems Technologies and Applications, 2023 Vol.21 No.2, pp.129 - 152

Received: 14 Feb 2023
Accepted: 27 Feb 2023
Published online: 19 Jun 2023 *

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