TY  - JOUR
T1  - Segmented Retinal Blood Vessels of Healthy and Diabetic Retinopathy Individual
AU - Noah Oluwatobi, Akande AU - Peace, Ayegba AU - Oluwakemi Christianah, Abikoye AU - Babatunde, Gbadamosi AU - Adekanmi Adeyinka, Adegun 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 16
SP  - 5794
EP  - 5799
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.5794.5799
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.5794.5799
KW  - Blood vessels dataset
KW  -diabetic retinopathy
KW  -DRIDB
KW  -retinal
KW  -segmentation
KW  -retinal vascular patterns
AB  - Diabetic retinopathy is a micro vascular complication of diabetes which alters the retinal vascular
patterns. The increase in this alteration may result in the complete damage of retinal blood vessels and
eventually lead to total sight loss or blindness. However, early diagnosis and detection of these changes in the
blood vessel patterns could help diagnose Diabetic Retinopathy (DR), determine its stage and define the
required treatment to be proffered. This data study presents image files of 50 high resolution blood vessels
images that were segmented from Diabetic Retinopathy Image Database (DRIDB). Prior to blood vessel
extraction, the green component of the raw images was extracted and converted to a grayscale image.
Afterwards, the images were preprocessed using median filter, mahalanobis distance and contrast limited
adaptive histogram equalization. The segmented blood vessels can be used to study blood vessel patterns with
a view to detect any alteration that could signify the presence of DR. Furthermore, the automatically segmented
blood vessels can be compared with other manually segmented blood vessels in order to validate the technique
adopted. Prospective researchers can also make use of the blood vessels in developing retina recognition
systems.
ER  -