scipy.ndimage

Multidimensional image processing (scipy.ndimage)

This package contains various functions for multidimensional image processing.

Filters

.. autosummary:: 
    :toctree:generated/
    convolve - Multidimensional convolution
    convolve1d - 1-D convolution along the given axis
    correlate - Multidimensional correlation
    correlate1d - 1-D correlation along the given axis
    gaussian_filter
    gaussian_filter1d
    gaussian_gradient_magnitude
    gaussian_laplace
    generic_filter - Multidimensional filter using a given function
    generic_filter1d - 1-D generic filter along the given axis
    generic_gradient_magnitude
    generic_laplace
    laplace - N-D Laplace filter based on approximate second derivatives
    maximum_filter
    maximum_filter1d
    median_filter - Calculates a multidimensional median filter
    minimum_filter
    minimum_filter1d
    percentile_filter - Calculates a multidimensional percentile filter
    prewitt
    rank_filter - Calculates a multidimensional rank filter
    sobel
    uniform_filter - Multidimensional uniform filter
    uniform_filter1d - 1-D uniform filter along the given axis
    vectorized_filter

Fourier filters

.. autosummary:: 
    :toctree:generated/
    fourier_ellipsoid
    fourier_gaussian
    fourier_shift
    fourier_uniform

Interpolation

.. autosummary:: 
    :toctree:generated/
    affine_transform - Apply an affine transformation
    geometric_transform - Apply an arbitrary geometric transform
    map_coordinates - Map input array to new coordinates by interpolation
    rotate - Rotate an array
    shift - Shift an array
    spline_filter
    spline_filter1d
    zoom - Zoom an array

Measurements

.. autosummary:: 
    :toctree:generated/
    center_of_mass - The center of mass of the values of an array at labels
    extrema - Min's and max's of an array at labels, with their positions
    find_objects - Find objects in a labeled array
    histogram - Histogram of the values of an array, optionally at labels
    label - Label features in an array
    labeled_comprehension
    maximum
    maximum_position
    mean - Mean of the values of an array at labels
    median
    minimum
    minimum_position
    standard_deviation - Standard deviation of an N-D image array
    sum_labels - Sum of the values of the array
    value_indices - Find indices of each distinct value in given array
    variance - Variance of the values of an N-D image array
    watershed_ift

Morphology

.. autosummary:: 
    :toctree:generated/
    binary_closing
    binary_dilation
    binary_erosion
    binary_fill_holes
    binary_hit_or_miss
    binary_opening
    binary_propagation
    black_tophat
    distance_transform_bf
    distance_transform_cdt
    distance_transform_edt
    generate_binary_structure
    grey_closing
    grey_dilation
    grey_erosion
    grey_opening
    iterate_structure
    morphological_gradient
    morphological_laplace
    white_tophat