A Novel Approach to Detect Glaucoma in Retinal Fundus Images using Cup-Disk and Rim-Disk Ratio

Glaucoma is a continual disorder which if now not detected in early stages can lead to permanent blindness. The scientific approaches utilized by ophthalmologists like HRT and OCT is high priced and time ingesting. As a result, there is a need to strengthen automated computer aided system which is able to become aware of glaucoma effectively and in much less time. Optic disk and optic cup are prime aspects which help in diagnosing glaucoma. For that reason, proper segmentation of optic disk and optic cup performs an major position in detecting the sickness. On this paper an adaptive threshold based approach which is impartial of photo great and invariant to noise is used to phase optic disk, optic cup, Neuroretinal rim and cup to disk ratio is calculated to screen glaucoma. Another ocular parameter, rim to disk ratio is also considered which in mixture with CDR gives extra reliability in picking glaucoma and makes the procedure extra robust. Extra an SVM classifier has been used to categorize the pixel as glaucomatic or non glaucomatic. The experimental outcome acquired is compared with the ophthalmologist and is discovered to have excessive accuracy of 90%. Also additionally, the proposed system is rapid, having low computational fee.