A regionprops table widget plugin for napari
Project description
napari-skimage-regionprops
A napari plugin for measuring properties of labeled objects based on scikit-image
Features
The user can select categories of features for feature extraction in the user interface. These categories contain measurements from the scikit-image regionprops list of measurements library:
-
size:
-
area
-
bbox_area
-
convex_area
-
equivalent_diameter
-
-
intensity:
-
max_intensity
-
mean_intensity
-
min_intensity
-
standard_deviation_intensity (
extra_properties
implementation using numpy)
-
-
perimeter:
-
perimeter
-
perimeter_crofton
-
-
shape
-
major_axis_length
-
minor_axis_length
-
orientation
-
solidity
-
eccentricity
-
extent
-
feret_diameter_max
-
local_centroid
-
-
position:
-
centroid
-
bbox
-
weighted_centroid
-
-
moments:
-
moments
-
moments_central
-
moments_hu
-
moments_normalized
-
This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-skimage-regionprops
via pip:
pip install napari-skimage-regionprops
Or if you plan to develop it:
git clone https://github.com/haesleinhuepf/napari-skimage-regionprops
cd napari-skimage-regionprops
pip install -e .
If there is an error message suggesting that git is not installed, run conda install git
.
Contributing
Contributions are very welcome. Tests can be run with tox, please ensure
the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the BSD-3 license,
"napari-skimage-regionprops" is free and open source software
Issues
If you encounter any problems, please create a thread on image.sc along with a detailed description and tag @haesleinhuepf.
Project details
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Source Distribution
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Hashes for napari_skimage_regionprops-0.1.3-py3-none-any.whl
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