Microstructure Image Analysis

About

This is a GUI app for simple feature collection and image segmentation.

screenshot

Installation

Download the app from the releases page. Unzip the folder.
Configure the Python environment according to requirements.txt. (You may want to install virtualenv.) A command-line example (Linux and MacOS):
```
$ python3 -m venv pyqt
$ source pyqt/bin/activate
$ pip3 install -r requirements.txt
```
Run the app with:
```
$ python3 main.py
```

Documentation

See documentation.md.

License

This work is released under GNU General Public License 3.0.

If you use our algorithms or this toolbox in an academic work, please cite:

@article{doi:10.1063/5.0013720,
author = {Ma,W. and Kautz,E. J. and Baskaran,A. and Chowdhury,A. and Joshi,V. and Yener,B. and Lewis,D. J.},
title = {Image-driven discriminative and generative machine learning algorithms for establishing microstructure–processing relationships},
journal = {Journal of Applied Physics},
volume = {128},
number = {13},
pages = {134901},
year = {2020},
doi = {10.1063/5.0013720},
URL = {https://doi.org/10.1063/5.0013720},
eprint = {https://doi.org/10.1063/5.0013720}
}

References

Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships: paper
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction: paper

Contact

Corresponding author: Elizabeth Kautz
GUI app bug report: Wufei Ma

Last update: Oct. 05, 2020