Special Section on Quality Control by Artificial Vision

Quantitative evaluation of image registration techniques in the case of retinal images

[+] Author Affiliations
Yann Gavet

École des Mines de Saint-Étienne, CIS-LPMG/CNRS, 158 Cours Fauriel, 42023 Saint-Étienne, France

Mathieu Fernandes

École des Mines de Saint-Étienne, CIS-LPMG/CNRS, 158 Cours Fauriel, 42023 Saint-Étienne, France

Jean-Charles Pinoli

École des Mines de Saint-Étienne, CIS-LPMG/CNRS, 158 Cours Fauriel, 42023 Saint-Étienne, France

J. Electron. Imaging. 21(2), 021118 (May 10, 2012). doi:10.1117/1.JEI.21.2.021118
History: Received September 16, 2011; Revised January 31, 2012; Accepted March 19, 2012
Text Size: A A A

Abstract.  In human retina observation (with non mydriatic optical microscopes), an image registration process is often employed to enlarge the field of view. Analyzing all the images takes a lot of time. Numerous techniques have been proposed to perform the registration process. Its good evaluation is a difficult question that is then raising. This article presents the use of two quantitative criterions to evaluate and compare some classical feature-based image registration techniques. The images are first segmented and the resulting binary images are then registered. The good quality of the registration process is evaluated with a normalized criterion based on the ϵ dissimilarity criterion, and the figure of merit criterion (fom), for 25 pairs of images with a manual selection of control points. These criterions are normalized by the results of the affine method (considered as the most simple method). Then, for each pair, the influence of the number of points used to perform the registration is evaluated.

Figures in this Article
© 2012 SPIE and IS&T

Citation

Yann Gavet ; Mathieu Fernandes and Jean-Charles Pinoli
"Quantitative evaluation of image registration techniques in the case of retinal images", J. Electron. Imaging. 21(2), 021118 (May 10, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.021118


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.