Journal of Engineering and Applied Sciences

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Vascular Networks Segmented from Retinal Images of Hypertensive Retinopathy and Glaucoma Patients

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Abstract

Hypertensive Retinopathy (HR) and glaucoma are two of the most common and leading eye problems responsible for human vision loss and blindness. Both cases cause alteration of vascular structures of the retina thereby initiating a gradual vison loss and eventual blindness. It is relieving to know that early detection of the changes in the vascular structure of the retina can help to detect these diseases before the eventual collapse of the eye. This study presents a dataset that contains high resolution biomedical image files of vascular structures extracted from retinal images available in Digital Retinal Images for Optic Nerve Segmentation Database (DRIONS-DB). The database contains 110 retinal images that were captured with HP-Photo Smart-S20 high-resolution scanner. The images are of 600×400 resolution and in JPEG format. Prior to extraction, the raw images were preprocessed using median filter, Mahalanobis distance and Contrast Limited Adaptive Histogram Equalization (CLAHE). The blood vessel segmentation was carried out using Dempster-Shafer (D-S) edge based detector while MATLAB R2015a programming environment was used for the implementation.

How to cite this article:

Ayegba Peace, Adegun Adekanmi Adeyinka, 1Ogundokun Roseline Oluwaseun, Asani Emmanuel Oluwatobi, Akande Noah Oluwatobi, Abikoye Oluwakemi Christianah, Gbadamosi Babatunde and Ayoola Joyce. Vascular Networks Segmented from Retinal Images of Hypertensive Retinopathy and Glaucoma Patients.
DOI: https://doi.org/10.36478/jeasci.2020.1932.1936
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2020.1932.1936