Skip to main content
Book cover

BMVC91 pp 359–362Cite as

Optic Disk Boundary Detection

  • Conference paper

Abstract

Monitoring the shape changes of the optic disk is crucial for the early detection of glaucoma. This requires the optic disk to be segmented from the surrounding fundus. Previous methods required the boundary to be identified manually, for example, by specifying four control points on the boundary. This is not practical for routine clinical analysis, intra-observer and inter-observer variations are tend to be large. We develop an automatic boundary detection technique based on morphological filtering and an active contour model.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lee S. and Brady J. M. Integrating stereo and photometric stereo to monitor the development of glaucoma. In Proceedings of the British Machine Vision Conference, pages 193-198, 1990.

    Google Scholar 

  2. Kass M., Witkin A. P., and Terzopoulos D. Snake: Active contour models. In Proceedings of the First International Conference on Computer Vision, volume 1, pages 259-268, 1987.

    Google Scholar 

  3. Amini A. A., Tehrani S., and Weymouth T. E. Using dynamic programming for minimization energy of active contour in the presence of hard constraints. In Proceedings of the Second International Conference on Computer Vision, pages 95-99, 1988.

    Google Scholar 

  4. Serra J. Image Analysis and Mathematical Morphology. London: Academic, 1982.

    MATH  Google Scholar 

  5. Bellman R. and Dreyfus S. Applied dynamic programming. Princeton University Press, Princeton, U.S., 1962.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1991 Springer-Verlag London Limited

About this paper

Cite this paper

Lee, S., Brady, M. (1991). Optic Disk Boundary Detection. In: Mowforth, P. (eds) BMVC91. Springer, London. https://doi.org/10.1007/978-1-4471-1921-0_50

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-1921-0_50

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19715-7

  • Online ISBN: 978-1-4471-1921-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics