Detection of Glaucoma with CDR Using Image Segmentation Method

Blindness is the result of the disease glaucoma, which is brought on by neurodegeneration of the optic nerve. It can be assessed by keeping an eye on the cup-to-disc ratio, visual field, and intraocular pressure. Glaucoma worsens peripheral vision loss by raising the cup-to-disc ratio. The Edge Detection approach to diagnose glaucoma based on the CDR evaluation of previously processed fundus pictures is the subject of this project. The major goal of this project is to develop an automated method for early glaucoma detection and to categories the condition according to its severity and optic nerve damage. This project’s goal is to pre-process retinal fundus images to improve their quality before further processing and to create a clever method to calculate the cup to disc ratio.