A tool for segmentation of grayscale evolution from 4D tomograhphy data (or other images)
Project description
evoSegment
This is a tool to segment microstructural evolution from 4D tomography data (or other image data).The method is based on clustering of a 2D histogram built from the intensities in a reference state and in an evolved state.
Installation
The easiest is to install the package from PyPI using
python3 -m pip install evosegment
It is also possible to clone the repository, build and install a local wheel. Something like this might work:
git clone https://gitlab.com/jhektor/evoSegment.git
cd evoSegment
python3 -m build
python3 -m pip install -e .
Using this approach will install the package in an editable way so that any changes you make to the code are reflected without reinstalling.
Usage
Have a look at the example.ipynb!
License
This software is licensed under the GNU General Public Licence v3.0 or later.
Support
Send an email to johan.hektor@mau.se or open an issue on gitlab if you have any questions.
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