Skip to content

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.
  • Labs icon Lab
  • A Cloud Guru
Google Cloud Platform icon

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]( course. - Comfortability reading the [scikit-image documentation]( to find new functions and methods to use to accomplish your goal.

Google Cloud Platform icon

Path Info

Clock icon Intermediate
Clock icon 45m
Clock icon Aug 21, 2020

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.

Table of Contents

  1. Challenge

    Install scikit-image

    Before we can edit images we'll need to install scikit-image.

  2. Challenge

    Load the `highrise.jpg` Image into Memory.

    To test the image changes that we'd like to automate, we're going to work with a local image called highrise.jpg. This can be found at /home/cloud_user/highrise.jpg.

  3. Challenge

    Create a Black and White Version of `highrise.jpg`.

    The first modification we'd like to automate is the conversion of an image from being a colored/RGB image to being a black and white or grayscale image. This is a common task, and we can leverage code from within the skimage.colors module to do nearly all of the work.

  4. Challenge

    Create a Copy of `highrise.jpg` with a Circular Mask.

    Adding a mask to our image is a much more complicated task that requires us to index and slice the array that is backing our image's data. To create a copy of the highrise image, we can use the copy method on our existing image object. To do the actual masking, it is worth looking at the code from this example in the scikit-image documentation.

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

On average, you retain 75% more of your learning if you get time for practice.

Start learning by doing today

View Plans