Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIEA.2012.6361014
Title: Automatic pupil detection on retro-illumination lens images from a population-based study
Authors: Aryaputera, A.W.
Gao, X.
Damon, W.W.K.
Ying, S. 
Yin, W.T. 
Keywords: automatic detection
retro-illumination images
Issue Date: 2012
Source: Aryaputera, A.W.,Gao, X.,Damon, W.W.K.,Ying, S.,Yin, W.T. (2012). Automatic pupil detection on retro-illumination lens images from a population-based study. Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 : 1772-1777. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIEA.2012.6361014
Abstract: Automatic detection of the pupil is an important step in cataract assessment. This paper proposes a new pupil detection method which addresses the challenges faced in current methods employed for this task. We evaluate the performance of the proposed method against the current methods on a large population-based image dataset of more than 9000 images from the Singapore Malay Eye Study (SiMES) database. The accuracy achieved is 98.60% for the proposed method for SiMES-1. A modified version of the method was applied on the follow-up SiMES-2 dataset, obtaining an accuracy of 97.25%. The results are encouraging towards a fully automatic cataracts detection and assessment. © 2012 IEEE.
Source Title: Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
URI: http://scholarbank.nus.edu.sg/handle/10635/51120
ISBN: 9781457721175
DOI: 10.1109/ICIEA.2012.6361014
Appears in Collections:Staff Publications

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