Retinal Blood Vessel Segmentation by Means of Scale-Space Analysis and Region Growing

  • M. Elena Martínez-Pérez
  • Alun D. Hughes
  • Alice V. Stanton
  • Simon A. Thom
  • Anil A. Bharath
  • Kim H. Parker
Conference paper

DOI: 10.1007/10704282_10

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1679)
Cite this paper as:
Martínez-Pérez M.E., Hughes A.D., Stanton A.V., Thom S.A., Bharath A.A., Parker K.H. (1999) Retinal Blood Vessel Segmentation by Means of Scale-Space Analysis and Region Growing. In: Taylor C., Colchester A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI’99. MICCAI 1999. Lecture Notes in Computer Science, vol 1679. Springer, Berlin, Heidelberg

Abstract

We present a method for retinal blood vessel segmentation based upon the scale-space analysis of the first and second derivative of the intensity image which gives information about its topology and overcomes the problem of variations in contrast inherent in these images. We use the local maxima over scales of the magnitude of the gradient and the maximum principal curvature as the two features used in a region growing procedure. In the first stage, the growth is constrained to regions of low gradient magnitude. In the final stage this constraint is relaxed to allow borders between regions to be defined. The algorithm is tested in both red-free and fluorescein retinal images.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • M. Elena Martínez-Pérez
    • 1
  • Alun D. Hughes
    • 2
  • Alice V. Stanton
    • 2
  • Simon A. Thom
    • 2
  • Anil A. Bharath
    • 1
  • Kim H. Parker
    • 1
  1. 1.Department of Biological and Medical SystemsImperial College of Science, Technology and MedicineLondonUK
  2. 2.Department of Clinical PharmacologyImperial College of Science, School of Medicine at St. Mary’sLondonUK

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