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Fast Segmentation of Retinal Blood Vessels Using a Deformable Contour Model

  • María J. Carreira
  • Lucia Espona
  • Manuel G. Penedo
  • Antonio Mosquera
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7325)

Abstract

This paper presents a deformable contour based method for blood vessel segmentation in digital retinal images. The method was evaluated on the publicly available DRIVE database, widely used for this purpose, since it contains retinal images where the vascular structure has been precisely marked by experts. Method performance is comparable to other existing solutions in literature, but it reaches the result faster than the others. Its effectiveness and velocity make this blood vessel segmentation technique suitable for retinal image computer analysis such as automated screening for early diabetic retinopathy detection.

Keywords

vessels segmentation retinal imaging deformable contour 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • María J. Carreira
    • 1
  • Lucia Espona
    • 3
  • Manuel G. Penedo
    • 4
  • Antonio Mosquera
    • 2
  1. 1.Centro de Investigación en Tecnoloxías da Información (CITIUS)Universidade de Santiago de CompostelaSpain
  2. 2.Departamento de Electrónica e ComputaciónUniversidade de Santiago de CompostelaSpain
  3. 3.Institute of Molecular Systems BiologyETH ZürichSwitzerland
  4. 4.VARPA Group, Departamento de ComputaciónUniversidade da CoruñaSpain

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