Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We鈥檒l occasionally send you account related emails.

Already on GitHub? Sign in to your account

improving RandomAnisotropy #644

Open
romainVala opened this issue Sep 2, 2021 · 0 comments
Open

improving RandomAnisotropy #644

romainVala opened this issue Sep 2, 2021 · 0 comments
Labels
enhancement New feature or request

Comments

@romainVala
Copy link
Contributor

馃殌 Feature

make the downsample and th upsample transform similar:
same interpolation and same include/exclude parameter

Motivation

you do not add self.add_include_exclude(arguments) for the upsample, I guess this is a bug..

currently
the downsample is done with nearest interpolation, but the upsample is done with input argument (default linear)
why 2 different choice

Actually I am not sure, about nearest interpolation when going from small to big voxel
image you resample in a bit voxel containing exactly 4 small voxel, what does the nearest interpolation (since all 4 are within the target voxel)
At least with linear interpolation, i know it will take the mean ...

Pitch

Alternatives

Additional context

@romainVala romainVala added the enhancement New feature or request label Sep 2, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

1 participant