Publication

Abstract : —Diabetes also known as diabetes mellitus (DM) is a prominent disease all over the world. It is a metabolic disorder occurring due to high blood sugar levels over a prolonged period. Diabetes affecting macular area is called diabetic maculopathy. Prolonged diabetes will lead to diabetic retinopathy which affects retina. The identification, grading and quantification of the disease will help to know the progress of the disease. So developing automated systems for identification, grading and quantification of the retinal pathologies associated with DM is on the rise. The aim of this project is to grade the different stages of retinopathy in Colour Fundus images using quantitative features extracted from the images such asarea, location and count of the hard exudates and microaneurysms and to evaluate the progress of diabetic retinopathy. Developing new techniques for grading various types of diabetic retinopathy based on quantification algorithms will aid the clinicians to understand the progress of the disease, which in turn provides us with scope for further re-search. The image dataset has been collected from Amrita Institute of Medical Sciences and Research Center. Here the images are of size 2588*1958.This automation will help the doctors to analyse the level of the disease and provide necessary treatments.