Course overview
This course provides analytical knowledge and practical skills in machine learning and machine vision systems, covering image acquisition, image enhancement, morphological image processing, image segment, image description and image representation, regression and classification in supervised learning, clustering, reinforcement learning, artificial neural networks, convolution neural networks and deep learning.
- Machine Vision System
- Machine Learning – Part 1
- Machine Learning – Part 2
Course learning outcomes
- Explain essential concepts of machine vision system and image processing
- Develop a process to capture an image and enhance it for further processing
- Apply various image processing techniques to detect and segment objects of interests from digital images
- Compare machine learning algorithms to identify the most suitable one for various applications
- Demonstrate the ability to select, justify and apply an appropriate machine learning algorithm to a given industrial application
Availability
Class details
Adelaide City Campus East
Group 1
Class number 26521
Section FR01
Size 100
Available 82
Class number 26522
Section PR02
Size 50
Available 38
Class number 26523
Section PR01
Size 50
Available 44
Class number 31941
Section AS01
Size 100
Available 82
Mawson Lakes
Group 1
Class number 26545
Section FR01
Size 30
Available 15
Class number 31940
Section AS01
Size 30
Available 15
Class number 26546
Section PR01
Size 30
Available 15
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