OPTIMIZED RETINAL BLOOD VESSEL SEGMENTATION TECHNIQUE FOR DETECTION OF DIABETIC RETINOPATHY

Abstract

Human eye is an organ that reacts to the light and sense the vision. Visual perception plays a vital role in human life. There are various kinds of eye disease which affects the vision of human eye. Hence, it is necessary to detect as well as diagnose that disease at the earliest stage. Retina is an interior sensitive layer that contains sensitive receptors, that is rods and cones which aids in vision making. Diabetic retinopathy is one of the eye disease that is caused due to diabetes, in which the retina structure of an eye gets affected. The examination of retinal structure is very difficult because the size of the blood vessels are very small and it varies from vessel to vessel. Several automated algorithms have been developed to get accurate blood vessel segmentation. In this paperdifferent possible blood vessels segmentation algorithms and their analysis are discussed.