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Lightweight image segmentation software for biological images

Project description


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

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Files for MiniContourFinder, version 1.0.19
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