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: 3 months ago
JSON representation

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 (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-04-29T05:59:54.000Z (over 1 year ago)
• Last Synced: 2024-10-07T23:10:07.735Z (3 months ago)
• Topics: grabber, image-foresting-transform, image-segmentation, livewire, napari-plugin
• Language: Python
• Homepage:
• Size: 31.4 MB
• Stars: 15
• Watchers: 5
• 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

[![License](https://img.shields.io/pypi/l/grabber.svg?color=green)](https://github.com/LIDS-UNICAMP/grabber/raw/master/LICENSE)

[![PyPI](https://img.shields.io/pypi/v/grabber.svg?color=green)](https://pypi.org/project/grabber)

[![Python Version](https://img.shields.io/pypi/pyversions/grabber.svg?color=green)](https://python.org)

[![tests](https://github.com/LIDS-UNICAMP/grabber/workflows/tests/badge.svg)](https://github.com/LIDS-UNICAMP/grabber/actions)

[![codecov](https://codecov.io/gh/LIDS-UNICAMP/grabber/branch/master/graph/badge.svg)](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/