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.
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© 2004 Springer-Verlag Berlin Heidelberg
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Karali, E., Asvestas, P., Nikita, K.S., Matsopoulos, G.K. (2004). Comparison of Different Global and Local Automatic Registration Schemes: An Application to Retinal Images. In: Barillot, C., Haynor, D.R., Hellier, P. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. MICCAI 2004. Lecture Notes in Computer Science, vol 3216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30135-6_99
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DOI: https://doi.org/10.1007/978-3-540-30135-6_99
Publisher Name: Springer, Berlin, Heidelberg
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