A Review On:An Automatic Detection of Vascular Change in Low Quality Retinal Images Using A/V Classification

The classification of arteries and veins in retinal images is an important phase for the automated assessment of vascular changes and calculation of characteristics signs with several diseases such as diabetes, hypertension & cardiovascular condition. The proposed of A/V classification method based on the images of INSPIRE-AVR, DRIVE & VICAVR databases demonstrate the independence of this method in A/V classification of retinal images with different properties, such as differences in size, quality, and camera angle. The vessels are reliable for the calculation of characteristic signs with vascular changes are measured & accessing the stage and severity of some retinal condition. Any changes in retinal blood vessels, such as dilation and prolongation of arteries, veins and their branches can provide frequently associate with hypertension and other cardiovascular diseases and also, reduce the subjectivity & time than current observer-based techniques.