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FutureLearn

Robotic Vision: Image Processing

Queensland University of Technology via FutureLearn

Overview

Understand how to use image processing and transformation to make robots see

Robotic vision relies on cameras and computers identifying and extracting image features to recognise a shape.

On this four-week course, you’ll explore how computers process images and how images are represented in a computer to help you understand the fundamentals of robotic vision.

You’ll learn to identify the unique features of a shape and its perimeter to examine how robots can be programmed to see.

Examine advanced image processing techniques

You’ll delve into the ways in which images are processed, covering advanced techniques such as morphological image processing and gamma correction.

You’ll be able to describe the purposes of different types of image processing to determine which is best for your operations.

You’ll also look at the properties of colour and light and how to apply this to robotics, understanding exactly how robots see and process colours.

Learn how to do basic coding in MATLAB

You’ll put your new skills into practice by learning the operations required to process an image using the programming language and environment MATLAB.

You’ll be guided through basic coding by the experts at Queensland University of Technology, to demonstrate the types of processing that you can use to programme robots to see.

By the end of the course, you’ll have the practical skills and knowledge to apply advanced image processing techniques to robotics.

This course is designed for those familiar with concepts from advanced high-school mathematics or undergraduate engineering. It’s also useful to have some programming knowledge.

You can enrol in the MATLAB Onramp tutorial here.

This course contains many practice activities in MATLAB. However, you won’t need to download the MATLAB software to complete the course (although if you already have it you are welcome to use it). The MATLAB exercises are embedded within the course, or you can use a version of MATLAB Online for which you’ll be provided a log-in and instructions for importing the Machine Vision Toolbox for MATLAB. You don’t need to own a robot, or have a robot kit, to take this course.

Taught by

Peter Corke

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