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Accurate measurements of abnormalities like Artery-Vein ratio and tortuosityin fundus images is an actively researched task. Most of the research seems tocompute such features independently. However, in this work, we have devised afully automated technique to measure any vascular abnormalities. This paper isa follow-up paper on vessel topology estimation and extraction, we use theextracted topology to perform A-V state-of-the-art Artery-Vein classification,AV ratio calculation, and vessel tortuosity measurement, all fully automated.Existing techniques tend to only work on the partial region, but we extract thecomplete vascular structure. We have shown the usability of this topology byextracting two of the most important vascular features; Artery-Vein ratio, andvessel tortuosity.

Fully Automated Artery-Vein ratio and vascular tortuosity measurement in retinal fundus images