Artery/Vein Classification in Retinal Images using Automatic Graph Method

Authors

  • A. Sharmila VIT University
  • G. K. Rajini VIT University
  • Gourav Dey VIT University

Keywords:

retinal images, graph method, graph nodes, artery/vein

Abstract

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(graph links).Final classification of a vessel segment as A/V is performed through the combination of the graph-based labelling results with a set of intensity features.

Author Biographies

G. K. Rajini, VIT University

School of Electrical Engineering

Gourav Dey, VIT University

School of Electrical Engineering

References

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Published

2015-08-17

How to Cite

Sharmila, A., Rajini, G. K., & Dey, G. (2015). Artery/Vein Classification in Retinal Images using Automatic Graph Method. Asian Journal of Applied Sciences, 3(4). Retrieved from https://ajouronline.com/index.php/AJAS/article/view/2655

Issue

Vol. 3 No. 4 (2015): August 2015

Section

Articles

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