Skip to main content

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

Project description

Grabber: A Tool to Improve Convergence in Interactive Image Segmentation

License PyPI Python Version tests codecov

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

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 via pip:

pip install grabber

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

grabber-ift-0.2.1.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

grabber_ift-0.2.1-py3-none-any.whl (11.5 kB view details)

Uploaded Python 3

File details

Details for the file grabber-ift-0.2.1.tar.gz.

File metadata

  • Download URL: grabber-ift-0.2.1.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for grabber-ift-0.2.1.tar.gz
Algorithm Hash digest
SHA256 c05a86c4d1a487f10409a3ac1d821c0d9198845a151f0b900736883ee4eb09f4
MD5 be7f42730b4fd1d81374f7398f200d5a
BLAKE2b-256 b271c003504264ba3b30d776327f1984b221fbe8bfe39ac4b572c3ae8f63f14c

See more details on using hashes here.

File details

Details for the file grabber_ift-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: grabber_ift-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 11.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for grabber_ift-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9ba3909030800c12a6ec04fde666fea27e1b73608e37fd641686ea8661191448
MD5 10507d44019d6300ad2c6f511882990f
BLAKE2b-256 4faebea687cf8da8f4b70a0fdae1383ad20a0ecabb1eeda0f148923116b2a1e5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page