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Grabber: A Tool to Improve Convergence in Interactive Image Segmentation

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Grabber: A Tool to Improve Convergence in Interactive Image Segmentation

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A tool for contour-based segmentation correction (2D only).

This repository provides a demo code of the paper:

Grabber: A Tool to Improve Convergence in Interactive Image Segmentation Jordão Bragantini, Bruno Moura, Alexandre X. Falcão, Fábio A. M. Cappabianco

demo.mp4

This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-napari-plugin template.

Installation

You can install grabber-ift via pip:

pip install grabber-ift

Known Limitations

This implementation doesn't support the items below, feel free to open a PR to add them.

  • It only support 2D image, supporting 3D images isn't trivial, but it could be applied per slice with minor changes.

Citation

If this work was useful for your research, please cite our paper:

@article{bragantini2020grabber,
  title={Grabber: A Tool to Improve Convergence in Interactive Image Segmentation,
  author={Bragantini, Jord{\~a}o and Bruno Moura, Falc{\~a}o, Alexandre Xavier and Cappabianco, F{\'a}bio AM,
  journal={Pattern Recognition Letters},
  year={2020}
}

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 MIT license, "grabber" is free and open source software

Issues

If you encounter any problems, please [file an issue] along with a detailed description.