Optic Disc and Optic Cup Segmentationbased on Fuzzy C Means Technique

Abstract

Glaucoma is the major cause of ocular damage and vision loss in which increased Intraocular Pressure (IOP) of the eye progressively damages the optic nerve. In this proposed study, an automatic system is developed for glaucoma detection by extracting vertical Cup to Disc Ratio (CDR) using Fuzzy C Means (FCM) clustering method. CDR is the ratio of optic cup area to the optic disc area, which provides basis for the diagnosis of glaucoma. Region of interest (ROI) extraction through intensity weighted centroid method which is followed by pre-processing and recursively applied FCM for the detection of Optic cup (OC) and Optic disc (OD).