Machine Learning and Vision Systems
Course Level Postgraduate
Course Level Postgraduate
Area/Catalogue
MFET 4015
Course Level
Postgraduate
Offered Externally
No
Course ID
100694
Unit Value
4.5
University-wide elective course
No
The 2025 timetable is
not yet available.
Course owner
UniSA STEM
To develop analytic knowledge and skills of machine learning and vision systems and digital image processing for use in mechatronic systems especially in manufacturing applications
Components of machine vision systems, image acquisition, point and neighbourhood image enhancement, edge based and region based image segmentation, colour image processing, morphological image processing, image description and representation, machine learning fundamentals, Fuzzy logic, Neural networks, basic deep learning.
Chris Solomon and Toby Breckon 2011, Fundamentals of Digital Image Processing (A practical approach with Examples in Matlab), - , Wiley - Blackwell
Nil
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, MAWSON LAKES | |||
Lecture | 2 hours x 13 weeks | ||
Computer Practical | 2 hours x 13 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Case study, Skills demonstration, Test/Quiz, Viva Voce
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.
* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.