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’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add Tukey Biweight and Huber’s minimax norm to medpy.filter.smoothing.anisotropic_diffusion #51

Closed
cancan101 opened this issue Oct 31, 2017 · 1 comment

Comments

@cancan101
Copy link
Collaborator

cancan101 commented Oct 31, 2017

Add a third and fourth option to medpy.filter.smoothing.anisotropic_diffusion. See Black, 1997 and this:
image
Biweight:
image

@loli loli added this to the MedPy1.0.0 milestone Oct 31, 2017
@loli
Copy link
Owner

loli commented Nov 6, 2017

Still thinking of implementing the fourth option of should I close this issue.

Btw.: Interestingly, in the formulation you cite here, the abs(s) is considered for c4, but not for c3. Maybe there is a reason behind this, although I can't think of any obvious.

@loli loli closed this as completed in #52 Nov 7, 2017
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

2 participants