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This lesson shows how to use Python and skimage to do basic image processing. With support from an NSF iUSE grant, Dr. Tessa Durham Brooks and Dr. Mark Meysenburg at Doane College, Nebraska, USA have developed a curriculum for teaching image processing in Python. This lesson is currently being piloted at different institutions. This pilot phase will be followed by a clean-up phase to incorporate suggestions and feedback from the pilots into the lessons and to make the lessons teachable by the broader community. Development for these lessons has been supported by a grant from the Sloan Foundation.
Link to resource: https://datacarpentry.org/image-processing/
Type of resources: Module
Education level(s): Graduate / Professional
Primary user(s): student, teacher
Subject area(s): Computer Science, Information Science, Measurement and Data