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Пакет: python-casmoothing (0.2-2)

Context-aware mesh smoothing for biomedical applications

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.

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  • dep: libc6 (>= 2.14) [amd64]
    GNU C Library: Shared libraries
    также виртуальный пакет, предоставляемый libc6-udeb
    dep: libc6 (>= 2.4) [i386]
  • dep: libgcc1 (>= 1:3.0)
    GCC support library
  • dep: libpython2.7 (>= 2.7)
    Shared Python runtime library (version 2.7)
  • dep: libstdc++6 (>= 4.1.1)
    GNU Standard C++ Library v3
  • dep: libvtk6.3
    VTK libraries
  • dep: python
    interactive high-level object-oriented language (default version)
    dep: python (<< 2.8)
    dep: python (>= 2.7~)
  • dep: python-vtk6
    Python bindings for VTK

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