A Review on Glaucoma Disease Detection by using Fundus Images of Eye

Abstract

Glaucoma is the Second leading causes of blindness across the world, it is an eye disease that affects the retina and optic nerve of eye which carries signals to the eye. This disease can leads to permanent blindness if not treated at earlier stage. The increased intraocular pressure which is main cause of glaucoma damages the optic nerve which sends images to the brain, the diameter of the optic cup within optic disc region is increased due to this increased retinal pressure.The increased cup to disc ratio (CDR) results in the loss of optic nerve fibers that are connected to the retina by disc area. CDR is the important structural features for differentiating between healthy and a glaucomatous eye. The objective of this paper is to present review of methods for automated detection of Glaucoma from fundus images of eye that assist in the progressive development of computer aided systems.

A Study on Glaucoma Disease Detection with Image Processing Methods

“…A tiny device or a warm breath of air put small amounts of pressure on the eye. But these Tonometry test requires both involvements from the doctor, a specialized and expensive pressure sensitivity machine, and the availability of a properly trained operator and Tonometry machine that conducts the Tonometry test is both expensive and bulky meaning that it is inoperable in areas that cannot support the infrastructure necessary to utilize [3].…”