• Podili Jyothi Surekha
• Kesari Padma Priya

Proliferative Diabetic retinopathy comes under the Opthamolic Disease.The most common cause of blindness among diabetes is diabetic retinopathy. The two primary kinds of diabetic retinopathy are proliferative diabetic retinopathy(PDR) and Non proliferative diabetic retinopathy(NPDR). Proliferative diabetic retinopathy is the term used to describe the rapid development of aberrant blood vessels in fundus images of eye. As a feature extraction, the histogram of oriented gradients is used the magnitude and direction of the fundus images are calculated by this hog feature extraction. Deep learning and machine learning models are currently quite useful for categorising the stage of blindness. Analysis of 3662 Grayscale fundus images. The Proposed method achieved accuracy of 99.9%,98.9%,80.99%,and99% with Support Vector Machine, Random Forest, Voting Algorithm, Gradient Boosting and Decision Tree machine learning Classifiers.

Diabetic Retinopathy, Histogram of Oriented Gradients, Support Vector Machine, Random Forest, Gradient Boosting, Voting Algorithm, Decision Tree

"DETECTION OF PROLIFERATIVE DAIABETIC RETINOPATHY USING HISTOGRAM OF ORIENTED GRADIENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.d134-d140, October-2022, Available :http://www.jetir.org/papers/JETIR2210329.pdf

"DETECTION OF PROLIFERATIVE DAIABETIC RETINOPATHY USING HISTOGRAM OF ORIENTED GRADIENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppd134-d140, October-2022, Available at : http://www.jetir.org/papers/JETIR2210329.pdf