Automatic Detection of Diabetic Retinopathy from Color Fundus Retinal Images

Abstract

The influence and impact of digital images on modern society is tremendous, and image processing is now a critical component in science and technology, in which Image segmentation plays a crucial role in many medical imaging applic ations. Medical image segmentation has a vital role in diagnosis, surgical planning, navigation, and various medical evaluations. Moreover it is suitable for segmenting the blood vessel of retinal images which is used for automated screening of early diabe tic retinopathy (damage to the retina) detection caused by complications of diabetes mellitus, which can eventually lead to blindness. One of the main challenges in medical image processing is to segment the blood vessel with higher accuracy rate hence we propose a novel technique to increase the accuracy rate of segmenting the blood vessel.