The conspicuous medical condition that occurs in the majority of population enlarges in diabetic. The condition is caused due to varying amount of insulin and glycogen secreted by endocrine gland of pancreas. At the higher stage of diabetes patients may start suffering from some sight disorders. It is due to bleeding or the accumulation of fluid in the retina which is a symptom of Diabetic Retinopathy (DR). Diabetic Retinopathy (DR) is one such abnormality affects the eye due to the significant amount of insulin present in the blood stream. When this condition is detected at the earliest stage of inception this abnormality can be controlled easily. if the blood vessels of the retina are damaged, it results in Diabetic Retinopathy (DR). The earliest stage of diabetic retinopathy will be visible on the surface of retina as Micro aneurysm, haemorrhage, exudates.
Diabetic retinopathy is a common eye disease in diabetic patients and is the main cause of blindness in the population. Early detection of diabetic retinopathy protects patients from losing their vision. Thus, this paper proposes a computer assisted diagnosis based on the digital processing of retinal images in order to help people detecting diabetic retinopathy in advance. The main goal is to automatically classify the grade of non-proliferative diabetic retinopathy at any retinal image. For that, microaneurysms and hard exudates in order to extract features that can be used by a support vector machine to figure out the retinopathy grade of each retinal image. Eye fundus pictures are grouped into, Mild Non-Proliferative Diabetic Retinopathy, Moderate Non-Proliferative Diabetic Retinopathy and Severe Non-Proliferative Diabetic Retinopathy. From the experimentations directed on patients with diabetic retinopathy the accompanying affectability. This demonstrates the examination could help ophthalmologist in breaking down a retina that is influenced by diabetic retinopathy.
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