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Optic Nerve Head Segmentation in HRT Images

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Yang, Xiaoyun, Morrow, Philip and Scotney, Bryan (2006) Optic Nerve Head Segmentation in HRT Images. In: IEEE International Conference on Image Processing, 2006 (ICIP 2006). IEEE Computer Society. 4 pp. [Conference contribution]

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URL: http://dx.doi.org/10.1109/ICIP.2006.312358

DOI: doi:10.1109/ICIP.2006.312358

Abstract

Accurate segmentation of the optic nerve head (or optic disk) is very useful during the analysis and assessment of glaucoma in the eye. The Heidelberg retinal tomograph (HRT) can acquire high quality images of the optic disk and also allows three dimensional topographic measurements to be made. However, there are significant problems in optic disk segmentation due to having to deal with issues such as distractors along blood vessel edges; the extent of pallor in the optic disk or the very variable appearance of the optic nerve head itself. We propose a multi-scale region and boundary hybrid snake method to extract the optic disk. This model takes account of the vessel edge gradient direction and tries to avoid its force influence when evolving the snake. Experimental results are assessed using an overlap ratio

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:13572
Deposited By:Professor Philip Morrow
Deposited On:04 May 2010 09:40
Last Modified:15 Jun 2011 11:08

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