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Segmentation of Fundus Eye Images Using Methods of Mathematical Morphology for Glaucoma Diagnosis

  • Katarzyna Sta̧por
  • Adam Świtonski
  • Radim Chrastek
  • Georg Michelson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3039)

Abstract

In this paper the new method for automatic segmentation of cup and optic disc in fundus eye images taken from classical fundus camera is proposed. The proposed method is fully based on techniques from mathematical morphology. Detection of cup region makes use of watershed transformation with markers imposed, while optic disk is extracted based on geodesic reconstruction by dilation. The obtained results are encouraging.

Keywords

Optic Disc Automatic Segmentation Mathematical Morphology Closing Operation Watershed Line 
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 Berlin Heidelberg 2004

Authors and Affiliations

  • Katarzyna Sta̧por
    • 1
  • Adam Świtonski
    • 1
  • Radim Chrastek
    • 2
  • Georg Michelson
    • 3
  1. 1.Institute of Computer ScienceSilesian University of TechnologyGliwicePoland
  2. 2.Chair for Pattern RecognitionFriedrich-Alexander-University Erlangen-NurembergErlangenGermany
  3. 3.Department of OphthalmologyFriedrich-Alexander-University Erlangen-NurembergErlangenGermany

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