Learn how images are processed and transformed to make a robot see.
Programming a robot to see requires knowing the principles of vision, mathematical knowledge and programming skills. We explore how computers process images, learning the operations required to process an image using MATLAB.
Robotic vision relies on identifying and extracting the features of an image to recognize a shape. You’ll identify the unique features of a shape and its perimeter. We look at some advanced image processing techniques: morphology; and transformations such as scaling and warping. We finish the course with a look at colour and light, and how robots see colour.
What topics will you cover?
- How computers process images
- Pixels, edges and regions
- How images are processed – histograms, monadic operations such as gamma correction and thresholding, and diadic operations
- Spatial operators such as kernels, Gaussian smoothing and edge detection
- How to extract image features – binary blobs and blob hierarchy
- Advanced image processing – morphology, scaling and image warping
- How to find dominant lines
- Properties of colour and light
Who is the course for?
This course assumes that you are familiar with concepts from advanced high-school mathematics or undergraduate engineering.
The course also assumes knowledge of programming – this will help you understand some of the demonstrations in the videos and is required for the third course in the robotic vision program. This course uses the MATLAB programming language and environment, but your knowledge of programming in other languages can be easily transferred to MATLAB. You can familiarize yourself with MATLAB by enrolling in the MATLAB Onramp tutorial.
Please note that this course includes video content and other visual teaching methods. Blind and visually impaired students may need a helper.
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