Machine Vision

EEE40017 12.5 Credit Points Hawthorn, Sarawak


  • One Semester or equivalent

Contact hours

  • 60 hours face to face + Blended

On-campus unit delivery combines face-to-face and digital learning.

Aims and objectives

This unit of study aims to provide you with a solid founding of the fundamentals of digital image processing for machine vision applications. Building on digital signal processing theory, you will attain learn how to apply 2D image filtering, sampling, and transformation techniques to solve common machine vision and image processing problems.
Unit Learning Outcomes
On successful completion of this unit students will be able to:
#Unit Learning Outcome Description
ULO1Appreciate time, spatial and frequency domain representations and properties of signals and signal processing systems (K1,K2,K3,S1)
ULO2Analyse and apply sampling and digital quantification mechanisms in image processing (K2,K3,S1.S2)
ULO3Apply transformation methods to the analysis and enhancement of image data and the analysis and design of image filters in the spatial and frequency domains (K2,K3,S1,S2)
ULO4Appreciate two-dimensional visual geometry, camera projection models and associated techniques for camera calibration (K2.K3.S1.S2.S3)
ULO5Apply software tools to the design and evaluation of machine vision systems (K2.K3.S1.S2.S3)

Courses with unit

New unit from 2024