174 lines
4.8 KiB
Python
174 lines
4.8 KiB
Python
"""
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=========================================================
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Multi-dimensional image processing (:mod:`scipy.ndimage`)
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=========================================================
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.. currentmodule:: scipy.ndimage
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This package contains various functions for multi-dimensional image
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processing.
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Filters
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=======
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.. autosummary::
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:toctree: generated/
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convolve - Multi-dimensional convolution
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convolve1d - 1-D convolution along the given axis
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correlate - Multi-dimensional correlation
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correlate1d - 1-D correlation along the given axis
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gaussian_filter
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gaussian_filter1d
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gaussian_gradient_magnitude
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gaussian_laplace
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generic_filter - Multi-dimensional filter using a given function
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generic_filter1d - 1-D generic filter along the given axis
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generic_gradient_magnitude
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generic_laplace
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laplace - n-D Laplace filter based on approximate second derivatives
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maximum_filter
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maximum_filter1d
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median_filter - Calculates a multi-dimensional median filter
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minimum_filter
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minimum_filter1d
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percentile_filter - Calculates a multi-dimensional percentile filter
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prewitt
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rank_filter - Calculates a multi-dimensional rank filter
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sobel
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uniform_filter - Multi-dimensional uniform filter
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uniform_filter1d - 1-D uniform filter along the given axis
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Fourier filters
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===============
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.. autosummary::
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:toctree: generated/
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fourier_ellipsoid
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fourier_gaussian
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fourier_shift
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fourier_uniform
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Interpolation
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=============
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.. autosummary::
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:toctree: generated/
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affine_transform - Apply an affine transformation
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geometric_transform - Apply an arbritrary geometric transform
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map_coordinates - Map input array to new coordinates by interpolation
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rotate - Rotate an array
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shift - Shift an array
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spline_filter
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spline_filter1d
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zoom - Zoom an array
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Measurements
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============
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.. autosummary::
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:toctree: generated/
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center_of_mass - The center of mass of the values of an array at labels
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extrema - Min's and max's of an array at labels, with their positions
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find_objects - Find objects in a labeled array
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histogram - Histogram of the values of an array, optionally at labels
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label - Label features in an array
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labeled_comprehension
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maximum
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maximum_position
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mean - Mean of the values of an array at labels
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median
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minimum
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minimum_position
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standard_deviation - Standard deviation of an n-D image array
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sum - Sum of the values of the array
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variance - Variance of the values of an n-D image array
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watershed_ift
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Morphology
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==========
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.. autosummary::
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:toctree: generated/
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binary_closing
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binary_dilation
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binary_erosion
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binary_fill_holes
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binary_hit_or_miss
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binary_opening
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binary_propagation
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black_tophat
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distance_transform_bf
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distance_transform_cdt
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distance_transform_edt
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generate_binary_structure
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grey_closing
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grey_dilation
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grey_erosion
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grey_opening
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iterate_structure
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morphological_gradient
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morphological_laplace
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white_tophat
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Utility
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=======
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.. autosummary::
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:toctree: generated/
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imread - Load an image from a file
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"""
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# Copyright (C) 2003-2005 Peter J. Verveer
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions
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# are met:
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#
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# 1. Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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#
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# 2. Redistributions in binary form must reproduce the above
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# copyright notice, this list of conditions and the following
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# disclaimer in the documentation and/or other materials provided
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# with the distribution.
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#
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# 3. The name of the author may not be used to endorse or promote
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# products derived from this software without specific prior
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# written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS
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# OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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# ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY
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# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
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# GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
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# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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from __future__ import division, print_function, absolute_import
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from .filters import *
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from .fourier import *
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from .interpolation import *
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from .measurements import *
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from .morphology import *
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from .io import *
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__version__ = '2.0'
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__all__ = [s for s in dir() if not s.startswith('_')]
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from scipy._lib._testutils import PytestTester
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test = PytestTester(__name__)
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del PytestTester
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