Detection of Diabetic Retinopathy using Preprocessed Fundus Image

Diabetic Retinopathy is a retinal disease that occurs in diabetes patients due to longstanding high blood sugar levels. It may lead to impairment of vision loss and even total blindness. It has an impact on the retinal vessels. The retina is the innermost layer of the eyeball, which is formed by a thin layer of tissue, the nerve fibers from the retina form the optic nerve posterior to it. In general, the retina is a mandatory tissue for good vision. Computer methods and image processing assist medical doctors at any time and relieve their work pressure, particularly for iterative processes such as identifying a region of interest in images such as lesions and anatomical structures. The automated system assists ophthalmologists to identify the disease early by which the visual impairment can be prevented with a low cost of medical resources. Retinal images are being utilized nowadays for identifying the retinal disease of Diabetic Retinopathy (DR). The evaluation of the retinal disease is performed through structural changes in the retina, in particular blood vessels of the retina. Therefore, the retinal images are to be of good quality to identify the presence or absence of DR Preprocessing is to be done to avoid unwanted noise and for image enhancement from which the image quality is improved. Preprocessing increases the reliability and efficiency of finding the disease.