reparam_image: Find optimum reparameterization between two images

In fdasrvf: Elastic Functional Data Analysis

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

fdasrvf documentation built on Nov. 19, 2023, 1:09 a.m.