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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 k-means 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.

Project details


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