Separation of the retinal vascular graph in arteries and veins

Authors:
Kai Rothaus;Paul Rhiem;Xiaoyi Jiang
Affiliations:
Department of Mathematics and Computer Science, University of Münster, Münster, Germany;Department of Mathematics and Computer Science, University of Münster, Münster, Germany;Department of Mathematics and Computer Science, University of Münster, Münster, Germany
Venue:
GbRPR'07 Proceedings of the 6th IAPR-TC-15 international conference on Graph-based representations in pattern recognition
Year:
2007

Citing 2
Cited 0

Adaptive Local Thresholding by Verification-Based Multithreshold Probing with Application to Vessel Detection in Retinal Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach

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Abstract

The vascular structure of the retina consists of two kinds of vessels: arteries and veins. Together these vessels form the vascular graph. In this paper we present an approach to separating arteries and veins based on a pre-segmentation and a few hand-labelled vessel segments. We use a rule-based method to propagate the vessel labels through the vascular graph. We embed this task as double-layered constrained search problem steered by a heuristical AC-3 algorithm to overcome the NP-hard computational complexity. Results are presented on vascular graphs generated from hand-made as well as on automatical segmentation.