Artery and Vein Classification in Retinal Images using Graph Based Approach

Abstract: Digital image analysis of eye fundus images has fewer benefits than current viewer-based methods. A symptom of various systemic diseases such as high blood pressure, glaucoma, diabetes and heart disease etc. affects the retinal arteries. Diseases such as diabetes indicate dysfunction and a wide range of changes in the retina. In retinal hypertension the blood vessels show dilation and dilation of the large arteries and veins. Arteriolar to Venular Diameter ratio (AVR) reveals high blood pressure levels, diabetic retinopathy and prematurity retinopathy. Among other image processing AVR measurements require vessel fragmentation, accurate vessel measurement and vein or vein segments [1]. The work is done to automatically detect retina vessels and that is why it is a challenging task.

Keywords: artery and vein classification, graph, retinal images, segmentation.