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SeedSeg Segmentation

napari-seedseg

A simple plugin for segmentation

License BSD-3 PyPI Python Version tests codecov napari hub

A simple plugin for 2D medical image segmentation. In this project, we are trying to use Flood method for segmentation. Flood segmentation, also known as flood fill or region growing, is an image segmentation technique that starts from a seed point and expands to neighboring pixels with similar properties (e.g., intensity, color). In our project, you only can segment one label at the time. Below is a description of the repository's structure and the purpose of each file:

.
├── setup.cfg              # package metadata
├── pyproject.toml         # use setuptools
├── src/napari_seedseg     
│   ├── napari.yaml        # Load and stress tests
│   ├── __init.py__        # Python package metadata files
│   ├── _widget.py         # Widget contributions
│   ├── _layers.py         # Layers contributions
│   └── _method.py         # Methods contributions
└── ...

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

Installation

You can install napari-seedseg via pip:

pip install napari-seedseg

To install latest development version :

pip install git+https://github.com/rezaakb/napari-seedseg.git

Packages

In this project we have used these packages:

numpy
magicgui
qtpy
opencv-python-headless
scikit-image>=0.19.3

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 BSD-3 license, "napari-seedseg" is free and open source software

Issues

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

Version:

  • 0.0.2

Last updated:

  • 09 May 2023

First released:

  • 09 May 2023

License:

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

  • Stars: 0
  • Forks: 0
  • Issues + PRs: 1

Python versions supported:

Operating system:

Requirements:

  • Information not submitted

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