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.
Unable to display preview. Download preview PDF.
- 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
- 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
- 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