Metadata-Version: 2.1
Name: MiniContourFinder
Version: 1.0.19
Summary: Lightweight image segmentation software for biological images
Home-page: https://github.com/isgilman/MiniContourFinder
Author: Ian S Gilman
Author-email: ian.gilman@yale.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
License-File: LICENSE

# MiniContourFinder
### Lightweight image segmentation software for biological images
Full documentation can be found on [Read the Docs](https://minicontourfinder.readthedocs.io/en/latest/).

Image segmentation has become a common task throughout biological and biomedical sciences. Despite the growth in image use, much of image analysis is still done manually, which frequently causes a bottleneck in data collection. MiniContourFinder is a lightweight image segmentation tool built in Python with OpenCV. MiniContourFinder was designed to allow users with minimal command line experience or image processing expertise to generate accurate and reproducible segmentations.

**Availability and implementation**

MiniContourFinder is free and open-source software available under the GNU General Public License v3.0. MiniContourFinder can be installed via Python package installer pip, the Conda package management system, or the source code above. 


