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|Title:||Automatic pupil detection on retro-illumination lens images from a population-based study||Authors:||Aryaputera, A.W.
|Issue Date:||2012||Citation:||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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