AUTOMATIC DETECTION OF MICRO ANEURYSM AND DIABETIC RETINOPATHY GRADING IN FUNDUS RETINAL IMAGES

Abstract

Image processing founds the applications in various medical fields. A cluster of research has been carried out in last decade and images processing is found to be superior to other environments in medical field. In a research it has been proven that the chances of blindness are 25 times more in the patients of diabetes than that of non-diabetic person. Automatic detection of the micro aneurysms is really challenging. Diabetic retinopathy (DR) has severe effects on retina and results in loss of eye sight. The research is carried out to understand the diabetes disease in India and it is found that, this disease is increasing rapidly. The percentage of people dead due to diabetes is also very high. Most of the times, this disease is neglected by patient and in some cases the people are unaware that they have diabetes. In this paper, authors have implemented the automatic detection of micro-aneurysm and diabetic retinopathy grading in fundus retinal images.