How do computers process images? Learn about image processing and image features, and how robots can be programmed to 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.
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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.
What will you achieve?
By the end of the course, you'll be able to...
- Describe how images are represented in a computer
- Describe the purposes of different types of image processing and feature extraction operations
- Demonstrate basic coding in MATLAB for image processing relevant to robotics
This course is part of the Robotic Vision program, which will enable you to skills in building robotic vision systems will become vital to developing the robots of the future.
