Glaucoma Assessment Using Super Pixel Classification

Abstract

A series of illnesses known as glaucoma harm the optic nerve in the eye. Glaucoma can cause lifelong blindness or vision loss if it is not addressed. Because glaucoma frequently has no symptoms in its early stages, it is particularly difficult. If symptoms start to show up, it might be too late to stop blindness. There are numerous ways to identify glaucoma, including tonometry, which measures the pressure inside the eye, ophthalmoscopy, which looks at the optic nerve's form and color, and perimeter, which measures the entire field of vision. However, because of the fact that each person's glaucoma is unique, these procedures do not allow for the detection of all forms of glaucoma. A visual assessment technique that can identify glaucoma is cup-to-disc ratio. By image processing methods like binarization the cup-to-disc ratio is calculated in this project and utilized to assess the glaucomatous status of an eye using super pixel classification.