Skip to main content

scikit-surgeryimage implements image processing tools and alogrithms for Image Guided Surgery.

Project description GitLab-CI test status Test coverage Documentation Status

scikit-surgeryimage is a python only project to implement image processing algorithms that are useful for image-guided surgery.

scikit-surgeryimage was developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences in University College London (UCL).


requirements.txt specifies a dependency on opencv-contrib-python, so you can use any OpenCV python therein. In addition, this project provides:

  • Video read and write.
  • Utilities to detect the number of cameras and prepare text for overlay on video.
  • Functions to make charuco boards, and detect charuco markers.
  • Interlacing and deinterlacing.
  • Convenience wrappers for erosion and dilation.


You can pip install directly from the repository as follows:

pip install scikit-surgeryimage


You can clone the repository using the following command:

git clone

Running the tests

You can run the unit tests by installing and running tox:

pip install tox

Encountering Problems?

Please check list of common issues.


Please see the contributing guidelines.


Supported by Wellcome and EPSRC.

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 scikit-surgeryimage, version 0.5.5
Filename, size File type Python version Upload date Hashes
Filename, size scikit_surgeryimage-0.5.5-py2.py3-none-any.whl (37.9 kB) File type Wheel Python version py2.py3 Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page