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Automatic Classification of Retinal Vessels Using Structural and Intensity Information

  • Behdad Dashtbozorg
  • Ana Maria Mendonça
  • Aurélio Campilho
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7887)

Abstract

This paper presents an automatic approach for artery/vein (A/V) classification based on the analysis of a graph representing the structure of the retinal vasculature. The entire vascular tree is classified by deciding on the type of each intersection point (graph node) and assigning one of two classes to each vessel segment (graph link). The final label for each vessel segment is accomplished by a combination of structural information taken from the graph (link class) with intensity features measured in the original color image. An accuracy of 88.0% was achieved for the 40 images of the INSPIRE-AVR dataset, thus demonstrating that our method outperforms state-of-the-art approaches for A/V classification.

Keywords

Artery/vein classification graph retinal images vessel segmentation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Behdad Dashtbozorg
    • 1
    • 2
  • Ana Maria Mendonça
    • 1
    • 2
  • Aurélio Campilho
    • 1
    • 2
  1. 1.INEB-Instituto de Engenharia BiomédicaPortoPortugal
  2. 2.Faculdade de EngenhariaUniversidade do PortoPortoPortugal

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