Note: This site is not an official Data Carpentry lesson. The lesson is under development for use in the Digital Imaging and Vision Applications in Science (DIVAS) Image Processing summer workshop and is in the process of becoming an official Data Carpentry lesson.
This lesson shows how to use Python and skimage to do basic image processing.
This lesson assumes you have a working knowledge of Python and some previous exposure to the Bash shell. These requirements can be fulfilled by:
a) completing a Software Carpentry Python workshop or
b) completing a Data Carpentry Ecology workshop (with Python) and a Data Carpentry Genomics workshop or
c) independent exposure to both Python and the Bash shell.
If you’re unsure whether you have enough experience to participate in this workshop, please read over this detailed list, which gives all of the functions, operators, and other concepts you will need to be familiar with.