Data on Retinal Images of Hypertensive Retinopathy and Glaucoma Patients

Published: 8 January 2021| Version 1 | DOI: 10.17632/8z639k7b8v.1
Oluwatobi Akande


This dataset contains 110 blood vessels extracted from Digital Retinal Images for Optic Nerve Segmentation Database (DRIONS-DB) publicly available database. It could be used to diagnose several ophthalmic diseases such as Hypertensive retinopathy, Diabetic Retinopathy, Glaucoma etc.


Steps to reproduce

A software was developed by the author to automatically extract blood vessels from Retina images. The blood vessels detection and extraction process involves different stages such as preprocessing and segmentation. Preprocessing was achieved using Median filter, Mahalanobis distance and CLAHE while the segmentation was achieved using Dempster–Shafer (D-S) edge based detector. D-S uses probability-based fusion to merge the outputs of Laplacian of Gaussian (LoG) and canny edge detection filters in determining the continuous paths of a vessel after the starting point has been determined


Landmark University College of Science and Engineering


Retinal Disease, Medical Image Processing