In this paper we consider landmark-based image registration using radial basis function interpolation schemes. More precisely, we analyze some landmark-based image transformations using compactly supported radial basis functions such as Wendland’s, Wu’s, and Gneiting’s functions. Comparisons of interpolation techniques are performed and numerical experiments show differences in accuracy and smoothness of them in some test cases. Finally, a real-life case with medical images is considered.
Cavoretto, Roberto and De Rossi, Alessandra
"Analysis of Compactly Supported Transformations for Landmark-based Image Registration,"
Applied Mathematics & Information Sciences: Vol. 07:
6, Article 2.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol07/iss6/2