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replace images_registration
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patquem authored Dec 6, 2024
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<p align="center" width="100%">
<img align="center" width=250 src=https://cea-metrocarac.github.io/images_registration/images_alignment.png>
<img align="center" width=250 src=https://cea-metrocarac.github.io/images_alignment/logo.png>
</p>

# Images_Alignment
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Once the parameters have been set, these ones can be applied automatically to a set of images as a workflow.

<p align="center" width="100%">
<img align="center" width="75%" src=https://cea-metrocarac.github.io/images_registration/appli.png> <br>
<img align="center" width="75%" src=https://cea-metrocarac.github.io/images_alignment/appli.png> <br>
<em>View of the GUI</em>
</p>


<p align="center" width="100%">
<img align="center" width="60%" src=https://cea-metrocarac.github.io/images_registration/example_series_1.png>
<img align="center" width="60%" src=https://cea-metrocarac.github.io/images_alignment/example_series_1.png>
</p>

<p align="center" width="100%">
<img align="center" width="60%" src=https://cea-metrocarac.github.io/images_registration/example_series_2.png> <br>
<img align="center" width="60%" src=https://cea-metrocarac.github.io/images_alignment/example_series_2.png> <br>
<em>Application to a set of 3 images.</em>

(The figures above have been generated from `example.py` available [here](https://github.com/CEA-MetroCarac/images_alignment/images_alignment/examples/example.py).)
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Assuming you have a python environment which is activated in a terminal, the application can be installed with the ``pip`` command:

```bash
pip install git+https://github.com/CEA-MetroCarac/images_registration.git
pip install git+https://github.com/CEA-MetroCarac/images_alignment.git
```

Once installed, the application can be launched directly from a terminal (with the previous python environment activated), by:
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In case you use this application to align images for a study which leads to an article, please cite:

- Patrick Quéméré, Univ. Grenoble Alpes, CEA, Leti, F-38000 Grenoble, France, https://github.dev/CEA-MetroCarac/images_registration
- Patrick Quéméré, Univ. Grenoble Alpes, CEA, Leti, F-38000 Grenoble, France, https://github.dev/CEA-MetroCarac/images_alignment

- P. Thevenaz, U. E. Ruttimann and M. Unser, "A pyramid approach to subpixel registration based on intensity," in IEEE Transactions on Image Processing, vol. 7, no. 1, pp. 27-41, Jan. 1998, doi: 10.1109/83.650848.

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