def getTransform(self, im):
"""
Compute the planar displacement between an image or volume and reference.
Overrides method from CrossCorr.
For 3D data (volumes), this will compute a separate 2D displacement for each plane.
For 2D data (images), this will compute the displacement for the single plane
(and will be the same as using CrossCorr).
Parameters
----------
im : ndarray
The image or volume
"""
from thunder.imgprocessing.transformation import PlanarDisplacement
delta = []
if im.ndim == 2:
delta.append(computeDisplacement(im, self.reference))
else:
for z in range(0, im.shape[2]):
delta.append(computeDisplacement(im[:, :, z], self.reference[:, :, z]))
return PlanarDisplacement(delta)
def getTransform(self, im):
"""
Compute the planar displacement between an image or volume and reference.
Overrides method from CrossCorr.
For 3D data (volumes), this will compute a separate 2D displacement for each plane.
For 2D data (images), this will compute the displacement for the single plane
(and will be the same as using CrossCorr).
Parameters
----------
im : ndarray
The image or volume
"""
from thunder.imgprocessing.transformation import PlanarDisplacement
delta = []
if im.ndim == 2:
delta.append(computeDisplacement(im, self.reference))
else:
for z in range(0, im.shape[2]):
delta.append(computeDisplacement(im[:, :, z], self.reference[:, :, z]))
return PlanarDisplacement(delta)
def getTransform(self, im):
"""
Compute displacement between an image or volume and reference.
Displacements are computed using the dimensionality of the inputs,
so will be 2D for images and 3D for volumes.
Parameters
----------
im : ndarray
The image or volume
"""
from thunder.imgprocessing.transformation import Displacement
delta = computeDisplacement(im, self.reference)
return Displacement(delta)
def getTransform(self, im):
"""
Compute displacement between an image or volume and reference.
Displacements are computed using the dimensionality of the inputs,
so will be 2D for images and 3D for volumes.
Parameters
----------
im : ndarray
The image or volume
"""
from thunder.imgprocessing.transformation import Displacement
delta = computeDisplacement(im, self.reference)
return Displacement(delta)