TU Darmstadt / ULB / TUbiblio

A procedure to locate the eyelid position in noisy videokeratoscopic images

Schäck, T. ; Muma, M. ; Alkhaldi, W. ; Zoubir, A. M. :
A procedure to locate the eyelid position in noisy videokeratoscopic images.
[Online-Edition: http://dx.doi.org/10.1186/s13634-016-0433-0]
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, 2016 (1) p. 136. ISSN 1687-6180
[Artikel], (2016)

Offizielle URL: http://dx.doi.org/10.1186/s13634-016-0433-0

Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2016
Autor(en): Schäck, T. ; Muma, M. ; Alkhaldi, W. ; Zoubir, A. M.
Titel: A procedure to locate the eyelid position in noisy videokeratoscopic images
Sprache: Englisch
Kurzbeschreibung (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.

Titel der Zeitschrift, Zeitung oder Schriftenreihe: 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
Band: 2016
(Heft-)Nummer: 1
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Signalverarbeitung
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
18 Fachbereich Elektrotechnik und Informationstechnik
Hinterlegungsdatum: 31 Dez 2016 09:00
Offizielle URL: http://dx.doi.org/10.1186/s13634-016-0433-0
Export:

Optionen (nur für Redakteure)

Eintrag anzeigen Eintrag anzeigen