A Dense sub-graph based approach for Automatic detection of Optic Disc

Glaucoma is a situation of greater than normal intraocular pressure surrounded by the eyes. This explains the harm to the optic nerves as the limb passes in sequence to the brain. The graph base is used in this paper for automatic localization of the optic disc. This paper proposed and modified a new dense sub - graph approach to locate the affected optic disc by using DRIVE, STAIR, and Drishti -GS1 databases. This model has proved to be more accurate when compared with other standard models representing the concert’s progress. This method provides a new idea for the location of the optic disc with a system accuracy of 93%.