Automatic Exudate Detection For The Diagnosis Of Diabetic Retinopathy

Diabetic Retinopathy is a complication of diabetes that is caused by changes in the blood vessels of the retina. Diabetic retinopathy is a major cause of blindness. Earliest signs of diabetic retinopathy are damage to the blood vessels in the eye and then the formation of lesions in the retina. This paper presents an automated method for the detection of exudates in retinal images with high accuracy. First, the image is converted to HSI model. After pre processing possible regions containing exudates using gray scale morphology are identified. By considering macular region, Diabetic Retinopathy is classified into mild, moderate and severe conditions. Texture analysis of retinal images is done by considering features like area, entropy and kurtosis.