Machine Vision Systems

Course aim

To provide students with the fundamental analytic knowledge and skills of machine vision systems and digital image processing for the use in mechatronic systems.

Course content

Introduction to 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, case studies.

Textbook(s)

Chris Solomon and Toby Breckon 2011, Fundamentals of Digital Image Processing (A practical approach with Examples in Matlab), - , Wiley - Blackwell

Prerequisite(s)

Nil

Corequisite(s)

Nil

Teaching method

Component	Duration
INTERNAL, MAWSON LAKES
Computer Practical	3 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.

Assessment

Case Studies, Examination - In class computer exam, Minor Assignment

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
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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
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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.