darsia.MultiscaleDiffeomorphicImageRegistration#

class MultiscaleDiffeomorphicImageRegistration(img_dst, config, mask_dst=None, total_config=None, **kwargs)[source]#

Multiscale diffeomorphic image registration, for larger deformations.

Set up the multiscale registration.

Parameters:

img_dstdarsia.Image: Reference image, held fixed in the analysis (the destination).
configdict or list of dict: Hierarchy of per-level configuration dictionaries.
mask_dstnumpy.ndarray, optional: Active mask.
total_configdict, optional: Parameters for the final, overall registration.

Methods

`apply`(img[, reverse])	Apply computed transformation onto arbitrary image.
`evaluate`(coords[, reverse, units])	See evaluate in DiffeomorphicImageRegistration.
`plot`(scaling[, mask])	Plot the dislacement stored in the current image registration.

apply(img, reverse=False)[source]#

Apply computed transformation onto arbitrary image.

Parameters:

imgnp.ndarray or darsia.Image: Image.
reversebool: Flag whether the translation is understood as from the test image to the baseline image, or reversed. The default is the latter.

Returns:

np.ndarray, optional: Transformed image, if input is array; no output otherwise.

evaluate(coords, reverse=False, units='metric')[source]#: See evaluate in DiffeomorphicImageRegistration.

plot(scaling, mask=None)[source]#

Plot the dislacement stored in the current image registration.

Parameters: