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BMVC91 pp 275-283 | Cite as

Automated Analysis of Retinal Images

  • Piotr Jasiobedzki
  • Chris J. Taylor
Conference paper

Abstract

We describe a method for segmenting retinal images using positions of blood vessels supplying the retina. The image is tessellated into irregularly shaped primary regions which are bounded by vessels, chains of microaneurysms, edges, etc. Boundaries are classified into groups using a trained set of grey level models. We define a process of merging primary regions into large patches using image properties such as texture and intensity, and semantic interpretations of boundaries and their measured properties. The method which makes extensive use of morphological processing depends on a limited number of parameters which have natural physical interpretations.

Keywords

Grey Level Retinal Image Image Property Primary Region Adjacency Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 1991

Authors and Affiliations

  • Piotr Jasiobedzki
    • 1
  • Chris J. Taylor
    • 1
  1. 1.Wolfson Image Analysis Unit, Dept. of Medical BiophysicsUniversity of ManchesterManchesterUK

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