• Saurabh S. Athalye
• Dr. Gaurav Vijay

Today diabetes is the most common disease faced by world population. High glucose level is present in the diabetes patients. Excessive glucose level causes damage in retinal vasculature. This damage ultimately results in Diabetic Retinopathy. DR is major reason of blindness in middle age population. Lesions detection from retinal images can provide automatic DR detection tool. Any sophisticated image classifier can give higher accuracy in automatic DR classification if inputted with appropriate features for training and classification. These appropriate features can be extracted from original retinal image along with Blood Vessel Segmented, Optic Disc Segmented and Microaneurysm detected images. This paper presents idea of Blood Vessel Segmentation, Optic Disc Segmentation and Microaneurysm detection using adaptive thresholding, binarization and wavelet model respectively. If these segmented images along with original retinal image are used for feature extraction then it can produce great accuracy in automatic DR classification.

Diabetic retinopathy (DR), Adaptive Thresholding, Binarization, Wavelet Transform

"Novel approach for Blood Vessel Segmentation, Optic Disc Segmentation and Microaneurysm detection for automatic diabetic retinopathy detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.171-174, October-2021, Available :http://www.jetir.org/papers/JETIRFD06024.pdf

"Novel approach for Blood Vessel Segmentation, Optic Disc Segmentation and Microaneurysm detection for automatic diabetic retinopathy detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. pp171-174, October-2021, Available at : http://www.jetir.org/papers/JETIRFD06024.pdf