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

Publication ,  Conference
Tan, NM; Wong, DWK; Liu, J; Ng, WJ; Zhang, Z; Lim, JH; Tan, Z; Tang, Y; Li, H; Lu, S; Wong, TY
Published in: 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings
December 1, 2009

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.

Duke Scholars

Published In

2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings

DOI

ISBN

9781424447640

Publication Date

December 1, 2009
 

Citation

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Tan, N. M., Wong, D. W. K., Liu, J., Ng, W. J., Zhang, Z., Lim, J. H., … Wong, T. Y. (2009). Automatic detection of the macula in the retinal fundus image by detecting regions with low pixel intensity. In 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings. https://doi.org/10.1109/ICBPE.2009.5384075
Tan, N. M., D. W. K. Wong, J. Liu, W. J. Ng, Z. Zhang, J. H. Lim, Z. Tan, et al. “Automatic detection of the macula in the retinal fundus image by detecting regions with low pixel intensity.” In 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings, 2009. https://doi.org/10.1109/ICBPE.2009.5384075.
Tan NM, Wong DWK, Liu J, Ng WJ, Zhang Z, Lim JH, et al. Automatic detection of the macula in the retinal fundus image by detecting regions with low pixel intensity. In: 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings. 2009.
Tan, N. M., et al. “Automatic detection of the macula in the retinal fundus image by detecting regions with low pixel intensity.” 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings, 2009. Scopus, doi:10.1109/ICBPE.2009.5384075.
Tan NM, Wong DWK, Liu J, Ng WJ, Zhang Z, Lim JH, Tan Z, Tang Y, Li H, Lu S, Wong TY. Automatic detection of the macula in the retinal fundus image by detecting regions with low pixel intensity. 2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings. 2009.

Published In

2nd International Conference on Biomedical and Pharmaceutical Engineering, ICBPE 2009 - Conference Proceedings

DOI

ISBN

9781424447640

Publication Date

December 1, 2009