tomopy.prep.stripe

Module for pre-processing tasks.

Functions:

remove_stripe_fw(tomo[, level, wname, ...]) Remove horizontal stripes from sinogram using the Fourier-Wavelet (FW) based method [C4].
remove_stripe_ti(tomo[, nblock, alpha, ...]) Remove horizontal stripes from sinogram using Titarenko’s approach [C8].
remove_stripe_sf(tomo[, size, ncore, nchunk]) Normalize raw projection data using a smoothing filter approach.
tomopy.prep.stripe.remove_stripe_fw(tomo, level=None, wname=u'db5', sigma=2, pad=True, ncore=None, nchunk=None)[source]

Remove horizontal stripes from sinogram using the Fourier-Wavelet (FW) based method [C4].

Parameters:
  • tomo (ndarray) – 3D tomographic data.
  • level (int, optional) – Number of discrete wavelet transform levels.
  • wname (str, optional) – Type of the wavelet filter. ‘haar’, ‘db5’, sym5’, etc.
  • sigma (float, optional) – Damping parameter in Fourier space.
  • pad (bool, optional) – If True, extend the size of the sinogram by padding with zeros.
  • ncore (int, optional) – Number of cores that will be assigned to jobs.
  • nchunk (int, optional) – Chunk size for each core.
Returns:

ndarray – Corrected 3D tomographic data.
tomopy.prep.stripe.remove_stripe_ti(tomo, nblock=0, alpha=1.5, ncore=None, nchunk=None)[source]

Remove horizontal stripes from sinogram using Titarenko’s approach [C8].

Parameters:
  • tomo (ndarray) – 3D tomographic data.
  • nblock (int, optional) – Number of blocks.
  • alpha (int, optional) – Damping factor.
  • ncore (int, optional) – Number of cores that will be assigned to jobs.
  • nchunk (int, optional) – Chunk size for each core.
Returns:

ndarray – Corrected 3D tomographic data.
tomopy.prep.stripe.remove_stripe_sf(tomo, size=5, ncore=None, nchunk=None)[source]

Normalize raw projection data using a smoothing filter approach.

Parameters:
  • tomo (ndarray) – 3D tomographic data.
  • size (int, optional) – Size of the smoothing filter.
  • ncore (int, optional) – Number of cores that will be assigned to jobs.
  • nchunk (int, optional) – Chunk size for each core.
Returns:

ndarray – Corrected 3D tomographic data.