mmorph
Mathematical morphology for NumPy images. mmorph is the successor of the SDC Morphology Toolbox: the same well-tested C core, with a modern Python API, binary wheels for current Python versions and NumPy 2.
pip install mmorph # NumPy and Pillow
pip install "mmorph[viz]" # plus matplotlib, for mmorph.viz.show and friends
import mmorph as mm
from mmorph import se
f = mm.data.load("cameraman")
grad = mm.morphological_gradient(f, se.box())
markers = mm.regional_minima(mm.h_minima_filter(grad, 20))
regions = mm.watershed(grad, markers, output="regions")
mm.viz.show_labels(regions)
It covers classical filters (dilation, erosion, openings, closings,
top-hats, alternating sequential filters), connected filters
(reconstruction, area and attribute filters, h-maxima, max-tree), watersheds,
distance transforms, skeletons, hit-or-miss transforms and measurements, on 2D
images and 3D volumes. Images are plain NumPy arrays: bool for binary images
and uint8, uint16 or int32 for grayscale.
Code written for the original toolbox keeps working through mmorph.compat,
which provides the mm* functions with their original behavior:
from mmorph.compat import *
g = mmopen(mmreadgray("cameraman.tif"), mmsedisk(3))
Every function is checked against the original toolbox on sample images, on random inputs and with the original test suite; defects found on the way (memory errors, wrong results on 64-bit platforms and on volumes) are fixed.
License
mmorph is distributed under the license of the SDC Morphology Toolbox,
included in the package as LICENSE.txt.
1 maintainer
Metadata
1 maintainer
Release files for mmorph 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 28.1 MB
Release files / mmorph-2.0.0-cp312-abi3-win_arm64.whl
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| Size | 1.9 MB |
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