peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/scipy
/ndimage
/__init__.py
""" | |
========================================================= | |
Multidimensional image processing (:mod:`scipy.ndimage`) | |
========================================================= | |
.. currentmodule:: 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 | |
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 | |
""" | |
# Copyright (C) 2003-2005 Peter J. Verveer | |
# | |
# Redistribution and use in source and binary forms, with or without | |
# modification, are permitted provided that the following conditions | |
# are met: | |
# | |
# 1. Redistributions of source code must retain the above copyright | |
# notice, this list of conditions and the following disclaimer. | |
# | |
# 2. Redistributions in binary form must reproduce the above | |
# copyright notice, this list of conditions and the following | |
# disclaimer in the documentation and/or other materials provided | |
# with the distribution. | |
# | |
# 3. The name of the author may not be used to endorse or promote | |
# products derived from this software without specific prior | |
# written permission. | |
# | |
# THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS | |
# OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED | |
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | |
# ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY | |
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL | |
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE | |
# GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | |
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, | |
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING | |
# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS | |
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
from ._filters import * | |
from ._fourier import * | |
from ._interpolation import * | |
from ._measurements import * | |
from ._morphology import * | |
# Deprecated namespaces, to be removed in v2.0.0 | |
from . import filters | |
from . import fourier | |
from . import interpolation | |
from . import measurements | |
from . import morphology | |
__all__ = [s for s in dir() if not s.startswith('_')] | |
from scipy._lib._testutils import PytestTester | |
test = PytestTester(__name__) | |
del PytestTester | |