https://github.com/lids-unicamp/grabber
Grabber: A Tool to Improve Convergence in Interactive Image Segmentation
https://github.com/lids-unicamp/grabber
grabber image-foresting-transform image-segmentation livewire napari-plugin
Last synced: 18 days ago
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Grabber: A Tool to Improve Convergence in Interactive Image Segmentation
- Host: GitHub
- URL: https://github.com/lids-unicamp/grabber
- Owner: LIDS-UNICAMP
- License: mit
- Created: 2020-08-04T14:50:45.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2023-04-29T05:59:54.000Z (about 2 years ago)
- Last Synced: 2025-04-13T09:05:44.667Z (24 days ago)
- Topics: grabber, image-foresting-transform, image-segmentation, livewire, napari-plugin
- Language: Python
- Homepage:
- Size: 31.4 MB
- Stars: 17
- Watchers: 4
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Grabber: A Tool to Improve Convergence in Interactive Image Segmentation
[](https://github.com/LIDS-UNICAMP/grabber/raw/master/LICENSE)
[](https://pypi.org/project/grabber)
[](https://python.org)
[](https://github.com/LIDS-UNICAMP/grabber/actions)
[](https://codecov.io/gh/LIDS-UNICAMP/grabber)
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](https://jookuma.github.io/), Bruno Moura, [Alexandre X. Falcão](http://lids.ic.unicamp.br/), [Fábio A. M. Cappabianco](https://scholar.google.com/citations?user=qmH9VEEAAAAJ&hl=en&oi=ao)
https://user-images.githubusercontent.com/21022743/145699960-57da06a5-668f-4e81-82b5-7f3d3ddf8ee3.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.
[napari]: https://github.com/napari/napari
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[@napari]: https://github.com/napari
[MIT]: http://opensource.org/licenses/MIT
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt
[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt
[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin
[napari]: https://github.com/napari/napari
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/