python-casmoothing 0.2-2 (ppc64el binary) in ubuntu bionic
Smoothing algorithms allow one to reduce artifacts from mesh generation,
but often degrade accuracy. The method described in the paper "Context-
aware mesh smoothing for biomedical applications" identifies staircase
artifacts which result from image inhomogeneities and binary
segmentation in medical image data for subsequent removal by adaptive
mesh smoothing. Thus, context-aware smoothing enables to adaptively
smooth artifact areas, while non-artifact features can be preserved.
This is a implementation of this method in Cpp with Python bindings.
Details
- Package version:
- 0.2-2
- Status:
- Published
- Component:
- universe
- Priority:
- Optional
Downloadable files
ppc64el build of python-casmoothing 0.2-2 in ubuntu bionic PROPOSED produced
these files:
- python-casmoothing_0.2-2_ppc64el.deb (34.0 KiB)