Post-Registration Evaluation

Find the best list of transformations given multiple lists and the images they were registered from

Parameters

imagestacks:

A list of imagestacks that have been used as a basis for alignment

transformations:

The resulting transformations for each of the imagestacks

url:

Url of an hdf5 Dataset to save the chosen transformed imagestack

inputs_are_stacks:

If true: Will treat imagestacks input of shape [B,N,M,H,W] as [B*N,M,H,W]

chosen_stack:

The index of the stack with the alignment of choice

Notes

Deciding whether an alignment is “good” is very hard to solve algorithmically, therefore the attemps to find the best alignment in this task are in no way definitive.

For every imagestack there are two measures used:

• Mean squared error between the images

• Smoothness of the transformations using change of corner coordinates when applying successive transformations