164 lines
4.6 KiB
Python
164 lines
4.6 KiB
Python
|
"""
|
||
|
|
=========================================================
|
||
|
|
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 arbritrary 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 - Sum of the values of the 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 *
|
||
|
|
|
||
|
|
__version__ = '2.0'
|
||
|
|
|
||
|
|
__all__ = [s for s in dir() if not s.startswith('_')]
|
||
|
|
|
||
|
|
from scipy._lib._testutils import PytestTester
|
||
|
|
test = PytestTester(__name__)
|
||
|
|
del PytestTester
|