INEB RECENT PUBLICATIONS: "An automatic graph-based approach for artery/vein classification in retinal images"

INEB researchers recently published an article in the IEEE transactions on Image Processing, Volume:23, Issue:3, Pages:1073-83 available since March 2014 (online April 2013).
Title: An automatic graph-based approach for artery/vein classification in retinal images
Authors: Dashtbozorg, Behdad; Mendonca, Ana Maria; Campilho, Aurélio

The classification of retinal vessels into artery/vein (A/V) is an important phase for automating the detection of vascular changes, and for the calculation of characteristic signs associated with several systemic diseases such as diabetes, hypertension, and other cardiovascular conditions. This paper presents an automatic approach for A/V classification based on the analysis of a graph extracted from the retinal vasculature. The proposed method classifies the entire vascular tree deciding on the type of each intersection point and assigning one of two labels to each vessel segment. Final classification of a vessel segment as A/V is performed through the combination of the graph-based labeling results with a set of intensity features.