• N.Sreenivasa Rao
• S. Girish Babu
• G. Sowmya
• M. Mahesh Kumar

In the recent years, automated retinal image analysis has become a large field of research due to advances in computer vision techniques, and image acquisition has opened exciting possibilities to study the pathogenesis of a number of diseases. Most of the recent studies focused over the association of retinal calibers to diagnose different types of subclinical diseases like atherosclerosis, hypercholesterolemia, inflammation and endothelial dysfunction, as well as clinical cardiovascular diseases, such as arterial hypertension, diabetes mellitus, diabetic retinopathy, stroke, kidney and heart diseases. Due to these significant advantages with retinal image analysis, the recent research focused mostly towards the better analysis of retinal images to get more accurate analytical results in the detection of different diseases. Among the related eye diseases, Diabetic Retinopathy is the most chronic disease which affects nearly one out of every ten persons with diabetes, according to point prevalence estimates. Diabetic Retinopathy is one of the most important reasons which make the key cause of vision loss, especially in the middle-aged people. Hence there is a need of early diagnosis to prevent the eyes from permanent vision loss which was the more severe damage at theadvanced stage. However due to the increasing population, the manual diagnosis of retina images results in an extra manual effort, which forces to develop an automatic Diabetic Retinopathy screening system based on the retinal image analysis.

DiabeticRetinopathy,Segmentation

"IMPLEMENTATION OF A CONSPICUOUS RETINAL IMAGE ANALYZER FOR DIABETIC RETINOPATHY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.842-847, September 2018, Available :http://www.jetir.org/papers/JETIR1809917.pdf

"IMPLEMENTATION OF A CONSPICUOUS RETINAL IMAGE ANALYZER FOR DIABETIC RETINOPATHY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp842-847, September 2018, Available at : http://www.jetir.org/papers/JETIR1809917.pdf