Abstract
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.
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Compte, B., Bartoli, A., Pizarro, D. (2012). Constant Flow Sampling: A Method to Automatically Select the Regularization Parameter in Image Registration. In: Dawant, B.M., Christensen, G.E., Fitzpatrick, J.M., Rueckert, D. (eds) Biomedical Image Registration. WBIR 2012. Lecture Notes in Computer Science, vol 7359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31340-0_12
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DOI: https://doi.org/10.1007/978-3-642-31340-0_12
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