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BMVC91 pp 359-362 | Cite as

Optic Disk Boundary Detection

  • Simon Lee
  • Michael Brady

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.

Keywords

Optic Disk Hard Constraint Active Contour Model Dynamic Programming Method Photometric Stereo 
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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References

  1. [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
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    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
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    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
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    Serra J. Image Analysis and Mathematical Morphology. London: Academic, 1982.MATHGoogle Scholar
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    Bellman R. and Dreyfus S. Applied dynamic programming. Princeton University Press, Princeton, U.S., 1962.MATHGoogle Scholar

Copyright information

© Springer-Verlag London Limited 1991

Authors and Affiliations

  • Simon Lee
    • 1
  • Michael Brady
    • 1
  1. 1.Robotics Research Group, Department of Engineering ScienceUniversity of OxfordUK

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