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A lesson teaching foundational image processing skills with Python andscikit-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 images, 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 inlearners/prereqs.md.

• Make a suggestion or correct an error byraising an Issue.

Please see theCONTRIBUTING.md file for contributing guidelines and details on how to get involved withthis project. Some specific guidelines for content / style are provided in the'What to Contribute (This Lesson)' section.

All participants should agree to abide by theThe Carpentries Code of Conduct.

The Image Processing with Python lesson is currently being maintained by:

• Kimberly Meechan
• Ulf Schiller
• Marco Dalla Vecchia

The lesson is built on content originally developed byMark Meysenburg,Tessa Durham Brooks,Dominik Kutra,Constantin Pape, andErin Becker.