ATTENTION This is an experimental test of The Carpentries Workbench lesson infrastructure. It was automatically converted from the source lesson via the lesson transition script.
If anything seems off, please contact Zhian Kamvar zkamvar@carpentries.org
A lesson teaching foundational image processing skills with Python and scikit-image.
This lesson introduces fundamental concepts in image handling and processing. Learners will gain the skills needed to load images into Python, to select, summarise, and modify specific regions in these image, and to identify and extract objects within an image for further analysis.
The lesson assumes a working knowledge of Python and some previous exposure to the Bash shell.
A detailed list of prerequisites can be found in _extras/prereqs.md.
Image Processing with Python is planned for release as an official Data Carpentry curriculum in 2022.
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All participants should agree to abide by the The Carpentries Code of Conduct.
The Image Processing with Python lesson is currently being developed by:
They are building on previous work by Mark Meysenburg, Tessa Durham Brooks, Dominik Kutra and Constantin Pape.