We present a method to automatically select the regularization parameter in the two-term compound cost function used in image registration. Our method is called CFS (Constant Flow Sampling). It samples the regularization parameter using the constraint that the warp-induced image flow be of constant magnitude on average. Compared to other methods, CFS provably provides a global solution at a specified precision and within a finite number of steps. CFS can be embedded within any algorithm minimizing a two-term compound cost function depending on a regularization parameter. We report experimental results on the registration of several datasets of laparoscopic images. © 2012 Springer-Verlag.
CITATION STYLE
Compte, B., Bartoli, A., & Pizarro, D. (2012). Constant flow sampling: A method to automatically select the regularization parameter in image registration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7359 LNCS, pp. 110–119). https://doi.org/10.1007/978-3-642-31340-0_12
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