Queensland University of Technology
- Start Date: 24 Sep, 2018
- 4 weeks
- Study Content: Videos
How do computers process images? Learn how images are identified and extracted, and how to use this to create robotic vision.
Course Fee: Free
Certificate Cost: See Fees and Eligibility
Introduction
Introduction Video
Course Description
This course is made available through the eLearnAfrica and FutureLearn partnership.
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.
Certificate cost may vary. You will be redirected to the host page for cost and payment options.
Queensland University of Technology
QUT is a leading Australian university ranked in the top two per cent of universities worldwide in the 2015-16 Times Higher Education World University Rankings. Our courses are in high demand, and our graduates include eight Rhodes Scholars, five of these awarded in the past six years. We are a connected, relevant and collaborative institution that seeks to solve real-world challenges.
As one of Australia’s fastest growing research universities, 100 per cent of our research, at the discipline-specific level, is assessed world standard or above (Australian Government 2015 ERA). QUT Business School is in the top one per cent of business schools worldwide to hold triple accreditation and one of only three providers nationwide to earn Financial Times global rankings in 2015 for its executive education programs.
Our staff are consistently recognised in national teaching awards, with QUT receiving two prestigious program awards and five citations in the 2015 Australian Awards for University Teaching.
With a superb location in subtropical Brisbane, the university attracts more than 47,000 students across three campuses – Gardens Point and Kelvin Grove in Brisbane’s inner city and Caboolture to the north. Some 25 per cent of students are studying at postgraduate level, and 17 per cent of our students come from overseas.
Staff and students work and study in technology-rich, world-class precincts. The national and international award-winning Science and Engineering Centre at Gardens Point is home to The Cube, acclaimed as one of the world’s largest digital interactive learning and display spaces.
This institution is available on eLearnAfrica through partnership with FutureLearn.
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Effective Date: September 22, 2016