Introduction to Image Processing
Key Takeaways
Loads, saves, and adjusts image size and orientation using basic image processing techniques
Original Description
In this introduction to image processing, you'll take your first steps in accessing and adjusting digital images for analysis and processing. You will load, save, and adjust image size and orientation while also understanding how digital images are recognized. You will then perform basic segmentation and quantitative analysis. Lastly, you will enhance the contrast of images to make objects of interest easier to identify.
By the end of the course, you’ll apply your segmentation skills to identify regions of interest, such as the amount of surface water from satellite images. This introduction to image processing will give you the foundation you need to conduct more advanced work on this topic.
You will use MATLAB throughout this course. MATLAB is the go-to choice for millions of people working in engineering and science and provides the capabilities you need to accomplish your image processing tasks. You will be provided with free access to MATLAB for the duration of the course to complete your work.
To be successful in this course you should have a background in basic math and some exposure to MATLAB. If you want to familiarize yourself with MATLAB check out the free, two-hour MATLAB Onramp. Experience with image processing is not required.
Watch on External: Coursera ↗
(saves to browser)
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →
More on: CV Basics
View skill →Related Reads
📰
📰
📰
📰
That "94% Match" That Could Ruin Your Life Isn't What You Think
Dev.to AI
Hair Raising Headaches: The Unsolvable Riddle of Realistic Hair Physics in 3D Filmmaking
Dev.to · kirolos nadi
Your Face Just Became 512 Numbers — And the Store Doesn't Need Your Name
Dev.to AI
You may not know it… but a camera can identify you in seconds.
Medium · Machine Learning
🎓
Tutor Explanation
DeepCamp AI