reparam_image {fdasrvf} | R Documentation |
Find optimum reparameterization between two images
Description
Finds the optimal warping function between two images using the elastic framework
Usage
reparam_image(It, Im, gam, b, stepsize = 1e-05, itermax = 1000, lmark = FALSE)
Arguments
It |
template image matrix |
Im |
test image matrix |
gam |
initial warping array |
b |
basis matrix |
stepsize |
gradient stepsize (default=1e-5) |
itermax |
maximum number of iterations (default=1000) |
lmark |
use landmarks (default=FALSE) |
Value
Returns a list containing
gamnew |
final warping |
Inew |
aligned image |
H |
energy |
stepsize |
final stepsize |
References
Q. Xie, S. Kurtek, E. Klassen, G. E. Christensen and A. Srivastava. Metric-based pairwise and multiple image registration. IEEE European Conference on Computer Vision (ECCV), September, 2014
[Package fdasrvf version 2.3.1 Index]