• VIJAYAVARTHINI T
• Dr. V. VASANTHI

Abstract: The technique of dividing a digital image into different parts is called image segmentation (set of pixels also known as image objects). Segmentation's objective is to transform an image's representation into a more straight forward and meaningful form. More easily analyzed a typical clinical approach for capturing a retinal visualization is retinal imaging. The early identification of retinal disorders such hypertension, diabetes, and glaucoma uses segmentation of blood vessels in retinal pictures. An essential preprocessing step for the early diagnosis of retinal disorders is the segmentation of blood vessels. To diagnose and treat diabetic retinopathy early and avoid blindness, retinal vasculature extraction is used. Images of the retinal fundu’s blood vessels serve as a crucial diagnostic tool for conditions like glaucoma, hypertension, and diabetic retinopathy. The eye condition known as diabetic retinopathy (DR) is brought on by long-term diabetes mellitus sickness and retinal damage. Many techniques have been put forth for the identification and diagnosis of DR. Pre- processing of color fundu’s pictures, diagnostic feature extraction, and DR classification are the three processes in the diagnosis of diabetic retinopathy. As a result, we can evaluate a person's potential level of diabetes by looking at the thickness of their blood vessels using a variety of imaging algorithms.

"ABUNDANT DETECTION OF DIABETIC RETINOPATHY USING FUNDUS PHOTOGRAPHY AND IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.f301-f307, March-2023, Available :http://www.jetir.org/papers/JETIR2303537.pdf

"ABUNDANT DETECTION OF DIABETIC RETINOPATHY USING FUNDUS PHOTOGRAPHY AND IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppf301-f307, March-2023, Available at : http://www.jetir.org/papers/JETIR2303537.pdf