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A procedure to locate the eyelid position in noisy videokeratoscopic images

Schäck, T. and Muma, M. and Alkhaldi, W. and Zoubir, A. M. (2016):
A procedure to locate the eyelid position in noisy videokeratoscopic images.
In: EURASIP Journal on Advances in Signal Processing: Nonlinear signal and image processing - a special issue in honour of Giovanni L. Sicuranza on his seventy-fifth birtday, p. 136, 2016, (1), ISSN 1687-6180, [Online-Edition: http://dx.doi.org/10.1186/s13634-016-0433-0],
[Article]

Abstract

In this paper, we propose a new procedure to robustly determine the eyelid position in high-speed videokeratoscopic images. This knowledge is crucial in videokeratoscopy to study the effects of the eyelids on the cornea and on the tear film dynamics. Difficulties arise due to the very low contrast of videokeratoscopic images and because of the occlusions caused by the eyelashes. The proposed procedure uses robust M-estimation to fit a parametric model to a set of eyelid edge candidate pixels. To detect these pixels, firstly, nonlinear image filtering operations are performed to remove the eyelashes. Secondly, we propose an image segmentation approach based on morphological operations and active contours to provide the set of candidate pixels. Subsequently, a verification procedure reduces this set to pixels that are likely to contribute to an accurate fit of the eyelid edge. We propose a complete framework, for which each stage is evaluated using real-world videokeratoscopic images. This methodology allows for automatic localization of the eyelid edges and is applicable to replace the currently used time-consuming manual labeling approach, while maintaining its accuracy.

Item Type: Article
Erschienen: 2016
Creators: Schäck, T. and Muma, M. and Alkhaldi, W. and Zoubir, A. M.
Title: A procedure to locate the eyelid position in noisy videokeratoscopic images
Language: English
Abstract:

In this paper, we propose a new procedure to robustly determine the eyelid position in high-speed videokeratoscopic images. This knowledge is crucial in videokeratoscopy to study the effects of the eyelids on the cornea and on the tear film dynamics. Difficulties arise due to the very low contrast of videokeratoscopic images and because of the occlusions caused by the eyelashes. The proposed procedure uses robust M-estimation to fit a parametric model to a set of eyelid edge candidate pixels. To detect these pixels, firstly, nonlinear image filtering operations are performed to remove the eyelashes. Secondly, we propose an image segmentation approach based on morphological operations and active contours to provide the set of candidate pixels. Subsequently, a verification procedure reduces this set to pixels that are likely to contribute to an accurate fit of the eyelid edge. We propose a complete framework, for which each stage is evaluated using real-world videokeratoscopic images. This methodology allows for automatic localization of the eyelid edges and is applicable to replace the currently used time-consuming manual labeling approach, while maintaining its accuracy.

Journal or Publication Title: EURASIP Journal on Advances in Signal Processing: Nonlinear signal and image processing - a special issue in honour of Giovanni L. Sicuranza on his seventy-fifth birtday
Volume: 2016
Number: 1
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Signal Processing
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
18 Department of Electrical Engineering and Information Technology
Date Deposited: 31 Dec 2016 09:00
Official URL: http://dx.doi.org/10.1186/s13634-016-0433-0
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