def register_all(ref_img, in_imgs, cmd=None):
"""Register all images in in_imgs to ref_img
Args:
ref_img -- n dimensional reference image
in_imgs -- n + 1 dimensional input images
cmd -- override the default command
Returns: warped input images
The last dimension of in_imgs is assumed to contained the series
to be iterated over.
"""
assert (ref_img.ndim + 1) == in_imgs.ndim, 'ref_img should have one less dimension '\
'than in_imgs'
out_imgs = []
for img in jtmri.np.iter_axis(in_imgs, -1):
out_imgs.append(register(ref_img, img, cmd))
return np.concatenate([im[..., np.newaxis] for im in out_imgs], axis=-1)
def register_all(ref_img, in_imgs, cmd=None):
"""Register all images in in_imgs to ref_img
Args:
ref_img -- n dimensional reference image
in_imgs -- n + 1 dimensional input images
cmd -- override the default command
Returns: warped input images
The last dimension of in_imgs is assumed to contained the series
to be iterated over.
"""
assert (ref_img.ndim + 1) == in_imgs.ndim, 'ref_img should have one less dimension '\
'than in_imgs'
out_imgs = []
for img in jtmri.np.iter_axis(in_imgs, -1):
out_imgs.append(register(ref_img, img, cmd))
return np.concatenate([im[..., np.newaxis] for im in out_imgs], axis=-1)
def register_all(ref_img, in_imgs, cmd=None):
"""Register all images in in_imgs to ref_img
Args:
ref_img -- n dimensional reference image
in_imgs -- n + 1 dimensional input images
cmd -- override the default command
Returns:
matricies -- iterable of matricies to transform each input
image to the reference image
images -- transformed input images
The last dimension of in_imgs is assumed to contained the series
to be iterated over.
"""
assert (ref_img.ndim + 1) == in_imgs.ndim, "ref_img should have one less dimension " "than in_imgs"
matricies, out_imgs = [], []
for img in jtmri.np.iter_axis(in_imgs, -1):
matrix, out_img = register(ref_img, img, cmd)
matricies.append(matrix)
out_imgs.append(out_img)
return matricies, np.concatenate([im[..., np.newaxis] for im in out_imgs], axis=-1)
def register_all(ref_img, in_imgs, cmd=None):
"""Register all images in in_imgs to ref_img
Args:
ref_img -- n dimensional reference image
in_imgs -- n + 1 dimensional input images
cmd -- override the default command
Returns:
matricies -- iterable of matricies to transform each input
image to the reference image
images -- transformed input images
The last dimension of in_imgs is assumed to contained the series
to be iterated over.
"""
assert (ref_img.ndim + 1) == in_imgs.ndim, 'ref_img should have one less dimension '\
'than in_imgs'
matricies, out_imgs = [], []
for img in jtmri.np.iter_axis(in_imgs, -1):
matrix, out_img = register(ref_img, img, cmd)
matricies.append(matrix)
out_imgs.append(out_img)
return matricies, np.concatenate([im[..., np.newaxis] for im in out_imgs],
axis=-1)
