Machine Learning and Vision Systems
Postgraduate
Postgraduate
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)
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Fee-paying program for domestic and international students
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Non-award enrolment
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* 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.