Paper
3 May 2000 Stereo fundus photography: automatic evaluation of retinal topography
Alexander L. Berestov
Author Affiliations +
Abstract
A set of fast algorithms for image adjustment and stereo matching directed to the improvement of image quality, quantitative measurements of retinal topography, and automatic detection of different pathologies is discussed. Usually automatic evaluations of the retina are performed with scanning laser systems, which use multiple laser scans to render 3 D volumes and extract depth information for the retinal features. Similar results can be achieved with regular fundus cameras. There are three steps to the proposed method. The most important step is the adjustment of color, brightness and contrast of the stereo images. The mean and the variance of each color component are calculated and equalized along the longitudes of the eyeball. The next step is the epipolar line adjustment in the two images. The algorithm is based on the fast estimation of the epipolar geometry in the left and right parts of the images and further nonlinear line-to-line adjustment of the stereo pair. During the third step occlusion errors are eliminated and a disparity map calculated. It is done by a combination of the classical correlation matching along the adjusted epipolar lines and by a new technique based on a double search in the occlusion areas.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander L. Berestov "Stereo fundus photography: automatic evaluation of retinal topography", Proc. SPIE 3957, Stereoscopic Displays and Virtual Reality Systems VII, (3 May 2000); https://doi.org/10.1117/12.384479
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CITATIONS
Cited by 3 scholarly publications and 2 patents.
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KEYWORDS
Retina

Cameras

Photography

Distortion

Image quality

Laser systems engineering

Detection and tracking algorithms

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