Robust Regression for Estimating the Eyelid Position in Videokeratoscopic Images
Masterarbeit, Proseminar, Studienarbeit, Bachelorarbeit
The knowledge about the exact position of the eyelid in a videokeratoscopic image is useful in many ways, for example:
- As a preprocessing step for enhancing the videokeratoscopic image for a more accurate corneal topography estimation, especially for people with a small eyelid aperture.
- For studying the impact of the force caused by the eyelids on the corneal topography.
The detection of the eyelid can be divided into two steps:
- Detection of the edge points of the eyelid by using image segmentation techniques.
- Fitting of a parametric model to the detected edge points.
