Comparison of different global and local automatic registration schemes: An application to retinal images

Abstract

In this paper, different global and local automatic registration schemes are compared in terms of accuracy and efficiency. The accuracy of different optimization strategies based on a variety of similarity measures (cross-correlation, mutual information coefficient or chamfer distance) is assessed by means of statistical tests. Results from every optimization procedure are quantitatively evaluated with respect to the gold-standard (manual) registration. The comparison has shown that chamfer distance is a robust and fast similarity measure that can be successfully combined with common optimization techniques in retinal image registration applications. © Springer-Verlag Berlin Heidelberg 2004.