Topology analysis of global and local RBF transformations for image registration

Roberto Cavoretto, Alessandra De Rossi and Hanli Qiao

Mathematics and Computers in Simulation (MATCOM), 2018, vol. 147, issue C, 52-72

Abstract: For elastic registration, topology preservation is a necessary condition to be satisfied, especially for landmark-based image registration. In this paper, we focus on the topology preservation properties of two different families of radial basis functions (RBFs), known as Gneiting and Matérn functions. Firstly, we consider a small number of landmarks, dealing with the cases of one, two and four landmark matching; in all these situations we analyze topology preservation and compare numerical results with those obtained by Wendland functions. Secondly, we discuss the registration properties of these two families of functions, when we have a larger number of landmarks. Finally, we analyze the behavior of Gneiting and Matérn functions, considering some test examples known in the literature and a real application.

Keywords: Scattered data interpolation; Gneiting functions; Matérn functions; Landmark-based image registration; Topology preservation (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:147:y:2018:i:c:p:52-72

DOI: 10.1016/j.matcom.2017.10.010

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