A REVIEW ON ADAPTIVE THRESHOLD APPROACH FOR GLAUCOMA DETECTION USING FUNDUS IMAGES

A group of diseases of the eye called Glaucoma damage the optic nerve permanently. Glaucoma gradually leads to a loss of sight. If diagnosed and treated early, Glaucoma can be cured before fatigue sets in. If blindness is to be avoided, early detection of glaucoma is highly desirable, as it lacks symptoms while developing and is irreversible once severe vision loss is detected. Several methods have been used to predict glaucoma from other retinal images, such as using structural and non-structural features. This paper proposes the methodology to detect Glaucoma automatically by using fundus images. A database from IIIT Hyderabad, Drishti-GS1, is used in this research.