Editing Images with scikit-image

A picture is worth 1,000 words, and being able to work with images from your code can be worth billions (if you ask the engineers at Instagram). Work with image data is a skill that has become increasingly valuable as more of the world has access to a camera in their pocket. Images are data just like everything else that we have access to on our computers, and with `scikit-image`, we're able to manipulate and analyze this data from our Python code. In this Hands-On Lab, we'll go through the process of reading in an existing image and making modifications to it programmatically. _Warning:_ This is a lab designed as part of a professional level course and is difficult. The lab asks you to accomplish something using exact methods and functionality of the `scikit-image` library that might not have been covered in lessons. To feel comfortable completing this lab, you'll want to know how to do the following: - Use `scikit-image`. Watch the "Using SciKit-image" lessons from the [Using Python's Math, Science, and Engineering Libraries](https://linuxacademy.com/cp/modules/view/id/621) course. - Comfortability reading the [scikit-image documentation](https://scikit-image.org/docs/stable/) to find new functions and methods to use to accomplish your goal.