python-casmoothing 0.2-2 (armhf 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.