Automatic detection of the macula in the retinal fundus image by detecting regions with low pixel intensity

This paper proposes a method to detect the macula in the retinal fundus image automatically. The method makes use of the optic disc height obtained from the ARGALI to define the region of interest. Regions of dark spots are then detected by finding the coordinates with the lowest pixel intensity and...

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Bibliographic Details
Published in2009 International Conference on Biomedical and Pharmaceutical Engineering pp. 1 - 5
Main Authors Tan, N.M., Wong, D.W.K., Liu, J., Ng, W.J., Zhang, Z., Lim, J.H., Tan, Z., Tang, Y., Li, H., Lu, S., Wong, T.Y.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2009
Subjects
Blindness
Head
Image color analysis
Optical losses
Photoreceptors
Physiology
Pigmentation
Pixel
Retina
Testing
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ISBN1424447631
9781424447633
ISSN1947-1386
DOI10.1109/ICBPE.2009.5384075

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Summary:This paper proposes a method to detect the macula in the retinal fundus image automatically. The method makes use of the optic disc height obtained from the ARGALI to define the region of interest. Regions of dark spots are then detected by finding the coordinates with the lowest pixel intensity and determining the average pixel neighbourhood intensities. These regions are ranked to determine the region containing the macula. This algorithm was tested on 162 images, and an accuracy of 98.8% was achieved. The results are promising for further development and use of this method in AMD studies and physiology localization.
ISBN:1424447631
9781424447633
ISSN:1947-1386
DOI:10.1109/ICBPE.2009.5384075