Digital image processing techniques enable ophthalmologists to detect and treat several eye diseases like diabetic retinopathy and glaucoma. Glaucoma is an eye problem that affects the retina and weakens the nerve cells that assist in visual recognition. Glaucoma, the most common cause of blindness is the disease of the optic nerve of the eye and can lead to ultimate blindness if not treated at an early stage. Raised intraocular pressure, increase in cup to disk ratio and visual field test are some of the measures for such a disease. This paper presents a succinct of different types of image processing methods employed for the detection of Glaucoma The main objective of this project is to find an automated tool to detect glaucoma at an early stage and to classify this disease based on its severity and damage of the optic fibre. In this paper different existing methods are reviewed and their performance are evaluated so that it can help the researchers in their work.

Glaucoma, Cup-Disc Ratio, Image Processing, Glaucoma Stages

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