Back to articles
Volume: 28 | Article ID: art00021
Geometrically constrained sub-pixel disparity estimation from stereo images of the retinal fundus
  DOI :  10.2352/ISSN.2470-1173.2016.5.SDA-034  Published OnlineFebruary 2016

The aim of this study is to propose a precise disparity estimation process between retinal fundus stereoscopic images to assist during eye diagnosis and view generation for visualization. We propose a computer-vision-based solution that allows, from stereo images, the extraction of precise disparity information that could be used for clinical parameters estimation and/or the generation of multi-viewpoint images of retinal fundus. The proposed solution is based on a sub-pixel disparity estimation algorithm that takes into consideration the spherical shape of the retinal fundus. A sub-pixel approach is adopted in order to achieve high precision disparity estimation. Moreover, the a priori knowledge of the fundus geometric shape provides useful information for the regularization of the high precision disparity estimation process. Stereo images, with known ground truth, are used to evaluate the proposed algorithm and to demonstrate the high precision of estimated disparity in our methods.

Subject Areas :
Views 30
Downloads 3
 articleview.views 30
 articleview.downloads 3
  Cite this article 

Mohamad Kharboutly, Carlos Vázquez, Stéphane Coulombe, Jacques de Guise, "Geometrically constrained sub-pixel disparity estimation from stereo images of the retinal fundusin Proc. IS&T Int’l. Symp. on Electronic Imaging: Stereoscopic Displays and Applications XXVII,  2016,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
Electronic Imaging
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA