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Geometrically constrained sub-pixel disparity estimation from stereo images of the retinal fundus

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Kharboutly, Mohamad, Vázquez, Carlos, Coulombe, Stéphane et de Guise, Jacques. 2016. « Geometrically constrained sub-pixel disparity estimation from stereo images of the retinal fundus ». In IS&T International Symposium on Electronic Imaging Science and Technology (San Francisco, CA, USA, Feb. 14-18, 2016) Society for Imaging Science and Technology.

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Abstract

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.

Item Type: Conference proceeding
Professor:
Professor
Vázquez, Carlos
Coulombe, Stéphane
de Guise, Jacques A.
Affiliation: Génie logiciel et des technologies de l'information, Génie logiciel et des technologies de l'information, Génie de la production automatisée
Date Deposited: 02 Feb 2017 17:33
Last Modified: 17 Jan 2020 21:06
URI: https://espace2.etsmtl.ca/id/eprint/14507

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