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Proceedings Paper

Automatic optic disc segmentation based on image brightness and contrast
Author(s): Shijian Lu; Jiang Liu; Joo Hwee Lim; Zhuo Zhang; Ngan Meng Tan; Wing Kee Wong; Huiqi Li; Tien Yin Wong
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Paper Abstract

Untreated glaucoma leads to permanent damage of the optic nerve and resultant visual field loss, which can progress to blindness. As glaucoma often produces additional pathological cupping of the optic disc (OD), cupdisc- ratio is one measure that is widely used for glaucoma diagnosis. This paper presents an OD localization method that automatically segments the OD and so can be applied for the cup-disc-ratio based glaucoma diagnosis. The proposed OD segmentation method is based on the observations that the OD is normally much brighter and at the same time have a smoother texture characteristics compared with other regions within retinal images. Given a retinal image we first capture the ODs smooth texture characteristic by a contrast image that is constructed based on the local maximum and minimum pixel lightness within a small neighborhood window. The centre of the OD can then be determined according to the density of the candidate OD pixels that are detected by retinal image pixels of the lowest contrast. After that, an OD region is approximately determined by a pair of morphological operations and the OD boundary is finally determined by an ellipse that is fitted by the convex hull of the detected OD region. Experiments over 71 retinal images of different qualities show that the OD region overlapping reaches up to 90.37% according to the OD boundary ellipses determined by our proposed method and the one manually plotted by an ophthalmologist.

Paper Details

Date Published: 13 March 2010
PDF: 8 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76234J (13 March 2010); doi: 10.1117/12.844654
Show Author Affiliations
Shijian Lu, Institute for Infocomm Research (Singapore)
Jiang Liu, Institute for Infocomm Research (Singapore)
Joo Hwee Lim, Institute for Infocomm Research (Singapore)
Zhuo Zhang, Institute for Infocomm Research (Singapore)
Ngan Meng Tan, Institute for Infocomm Research (Singapore)
Wing Kee Wong, Institute for Infocomm Research (Singapore)
Huiqi Li, Institute for Infocomm Research (Singapore)
Tien Yin Wong, Singapore National Eye Ctr. (Singapore)


Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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