Skip to main content

Lightweight image segmentation software for biological images

Project description

MiniContourFinder

Lightweight image segmentation software for biological images

Full documentation can be found on Read the Docs.

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.

Project details


Download files

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

Files for MiniContourFinder, version 1.0.19
Filename, size File type Python version Upload date Hashes
Filename, size MiniContourFinder-1.0.19-py3-none-any.whl (49.0 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size MiniContourFinder-1.0.19.tar.gz (35.6 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page