Weekly study3 hours
Robotic Vision: Image Processing
This course isn't running right now. We can email you when it starts again, or check out these other courses you might like.
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.
- 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
Date to be announced
Learning on this course
You can take this self-guided course and learn at your own pace. On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
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
Who is the course for?
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.
What software or tools do you need?
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.
Who developed the course?
QUT is a leading Australian university ranked in the top 1% of universities worldwide by the 2019 Times Higher Education World University Rankings. Located in Brisbane, it attracts over 50,000 students.
World rankingTop 180Source: Times Higher Education World University Rankings 2019