Package stsci :: Package ndimage :: Module info
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Module info

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N-dimensional image package

This package contains various functions for multi-dimensional image processing.

Modules

.. autosummary:

  :toctree: generated/

  filters -
  fourier -
  interpolation -
  io -
  measurements -
  morphology -

Functions (partial list)

.. autosummary:

  :toctree: generated/

  affine_transform - Apply an affine transformation
  center_of_mass - The center of mass of the values of an array at labels
  convolve - Multi-dimensional convolution
  convolve1d - 1-D convolution along the given axis
  correlate - Multi-dimensional correlation
  correlate1d - 1-D correlation along the given axis
  extrema - Min's and max's of an array at labels, with their positions
  find_objects - Find objects in a labeled array
  generic_filter - Multi-dimensional filter using a given function
  generic_filter1d - 1-D generic filter along the given axis
  geometric_transform - Apply an arbritrary geometric transform
  histogram - Histogram of the values of an array, optionally at labels
  imread - Load an image from a file
  label - Label features in an array
  laplace - n-D Laplace filter based on approximate second derivatives
  map_coordinates - Map input array to new coordinates by interpolation
  mean - Mean of the values of an array at labels
  median_filter - Calculates a multi-dimensional median filter
  percentile_filter - Calculates a multi-dimensional percentile filter
  rank_filter - Calculates a multi-dimensional rank filter
  rotate - Rotate an array
  shift - Shift an array
  standard_deviation - Standard deviation of an n-D image array
  sum - Sum of the values of the array
  uniform_filter - Multi-dimensional uniform filter
  uniform_filter1d - 1-D uniform filter along the given axis
  variance - Variance of the values of an n-D image array
  zoom - Zoom an array

Note: the above is only roughly half the functions available in this package

Objects

.. autosummary:

  :toctree: generated/

  docdict -
Variables [hide private]
  postpone_import = 1
  depends = []
  __package__ = None