Share Email Print
cover

Proceedings Paper

Stereo fundus photography: automatic evaluation of retinal topography
Author(s): Alexander L. Berestov
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 3 May 2000
PDF: 10 pages
Proc. SPIE 3957, Stereoscopic Displays and Virtual Reality Systems VII, (3 May 2000); doi: 10.1117/12.384479
Show Author Affiliations
Alexander L. Berestov, Canon Research Ctr. America, Inc. (United States)


Published in SPIE Proceedings Vol. 3957:
Stereoscopic Displays and Virtual Reality Systems VII
John O. Merritt; Stephen A. Benton; Andrew J. Woods; Mark T. Bolas; Mark T. Bolas, Editor(s)

© SPIE. Terms of Use
Back to Top