A tool for contour-based segmentation correction (2D only).
Project description
Grabber: A Tool to Improve Convergence in Interactive Image Segmentation
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
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file grabber-ift-0.2.2.tar.gz
.
File metadata
- Download URL: grabber-ift-0.2.2.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
Algorithm | Hash digest | |
---|---|---|
SHA256 | ddfd1ee60fbce6fcfb0100d846c885ee61b84ea3906b82599421677575d44c23 |
|
MD5 | 5691511ee71687162b3e106ce7cf22fd |
|
BLAKE2b-256 | 322be088a5d03d54bd928b7faad2bf1a261177d8bda395408d365eb34b4f0d2a |
File details
Details for the file grabber_ift-0.2.2-py3-none-any.whl
.
File metadata
- Download URL: grabber_ift-0.2.2-py3-none-any.whl
- Upload date:
- Size: 11.6 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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 77528a9000a4420cc1969dcf7ac7c09c7bdcccfc71951b41450d2e90d03809d3 |
|
MD5 | c40a2ad82e09d15f1e8dc861d29d99ce |
|
BLAKE2b-256 | 8293ab524c00ced4464c44e5131720e9a063960882aca5653452d959374ac89d |