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Segmentation of fundus eye images using methods of mathematical morphology for glaucoma diagnosis

  • Friedrich-Alexander University Erlangen-Nürnberg

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

49 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMarian Bubak, Geert Dick van Albada, Peter M. A. Sloot, Jack J. Dongarra
PublisherSpringer Verlag
Pages41-48
Number of pages8
ISBN (Print)3540221298
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3039
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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