Detects blobs in images
Project description
napari-blob-detection
Detects blobs in images
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
This plugin uses scikit-image's blob detection algorithms to detect bright blobs on dark backgrounds.
Parameters
- method: Laplacian of Gaussian (most accurate) or Difference of Gaussian (faster approximation)
- image: Image layer for blob detection. Can be a 2D, 3D, or higher dimensionality image.
- dimensionality: users can specify if the image is 2D(+t) or 3D(+t).
- min sigma: the smallest blob size to detect
- max sigma: the largest blob size to detect
- threshold: the lower the threshold, the more low intensity blobs are detected.
Output
Blobs are represented by the Points layer.
The size of each blob is proportional to Points.feature['sigma']
,
which signifies the scale at which the feature point was found.
Installation
You can install napari-blob-detection
via pip:
pip install napari-blob-detection
To install latest development version :
pip install git+https://github.com/andy-sweet/napari-blob-detection.git
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-blob-detection" 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
Hashes for napari-blob-detection-0.0.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | b0e744f6e61394628479050e2cd329bae11ca38c1c9c83f82d9af3bab5de1208 |
|
MD5 | ddb12307a37d52ece8f27e4baa8e2466 |
|
BLAKE2b-256 | 87e4957002f3e75b88013e68c0081e0283cdbc097ccc1b0d36a48afe18f0c910 |
Hashes for napari_blob_detection-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ea44f52b29ebce42e797b9ccfafc6024f20462e1a579e4dc2058406d37299458 |
|
MD5 | f01e29e144d254a9d0be66a72baafcef |
|
BLAKE2b-256 | adff30d8de108934e90c06df8e0a6aed43c6277092dd64442a721acc50388d2b |