python-casmoothing binary package in Ubuntu Bionic ppc64el
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.
Publishing history
Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
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2017-11-29 18:50:02 UTC | Published | Ubuntu Bionic ppc64el | release | universe | python | Optional | 0.2-2 | ||
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Deleted | Ubuntu Bionic ppc64el | proposed | universe | python | Optional | 0.2-2 | |||
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2017-11-29 18:50:32 UTC | Superseded | Ubuntu Bionic ppc64el | release | universe | python | Optional | 0.2-1build1 | ||
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