Title :
Histogram analysis for automatic blood vessels detection: First step of IOP
Author :
Mohammad Aloudat;Miad Faezipour
Author_Institution :
Departments of Computer Science &
fDate :
5/1/2015 12:00:00 AM
Abstract :
Most individuals do not realize they have a broken vein in the eye until somebody lets them know or they look in a mirror. This condition is not tormenting, but commonly creates obtuse trauma to the eye. Treatment is often not required for subconjunctival drainage. In the event that a patient has recognized the presence of blood in his or her eye, it may be fitting for him or her to look for medical consideration. While a subconjunctival drain is occasionally risky, hyphema (blood in the front assembly of the eye, between the cornea and the iris) is conceivably a more serious condition, with more serious outcomes. This paper first provides an overview of the most common techniques used to calculate the blood vessels in color images of the retina. Then, it presents a study that has been conducted to discuss the early steps of the intraocular pressure (IOP) detection in the eye, using histogram analysis.
Keywords :
"Veins","Retina","Biomedical imaging","Diabetes","Histograms","Databases"
Conference_Titel :
Electro/Information Technology (EIT), 2015 IEEE International Conference on
Electronic_ISBN :
2154-0373
DOI :
10.1109/EIT.2015.7293333