Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview


Computer vision is the science of automatically computing information and making decisions from an observed image, image set or an image sequence. It combines concepts from 'image processing' (in the spatial and frequency domains) and 'pattern recognition'. Computer vision has a wide number of potential applications, including satellite imaging, control and measurement, industrial inspection, surveillance (e.g. face recognition) and medical applications. This unit covers topics such as binary image analysis, greyscale image manipulation, linear and nonlinear filtering, feature extraction, image enhancement, image segmentation and recognition. It also covers camera calibration and projective geometry and how three-dimensional information can be reconstructed from single images, stereo pairs of images and motion sequences. In the future, it is anticipated that computer vision systems will become prevailing, and that vision technology will be more applied across a broad range of business and consumer products. This will result in a strong industry demand for computer vision engineers—for people who understand vision technology and know how to apply it in real-world problems.

6 points
(see Timetable)
Semester 1UWA (Perth)Face to face

Students are able to (1) explain computer vision problems in writing; (2) write programs to solve computer vision problems; (3) conduct independent research on a chosen research topic; (4) demonstrate logical thinking and problem-solving skills; (5) explain the technical theory behind formation of images; and (6) critique various methodologies for solving problems in computer vision and image processing.


Indicative assessments in this unit are as follows: (1) laboratory solutions (5% per lab); (2) research project, report and presentation; and (3) final exam. Further information is available in the unit outline.

Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Winthrop Professor Mohammed Bennamoun
Unit rules
Enrolment in
HON-CMSSE Computer Science and Software Engineering
or 62530 Master of Data Science
62550 Master of Professional Engineering and SP-EBIOM Biomedical Engineering specialisation
or SP-EELEC Electrical and Electronic Engineering specialisation
or SP-ESOFT Software Engineering specialisation
53560 Master of Physics and SP-MEDPH Medical Physics
or 73660 Master of Medical Physics
BH008 Bachelor of Advanced Computer Science [Honours] and MJD-ARIDM Artificial Intelligence
Bachelor of Engineering (Honours) or an associated Combined Degree
and Successful completion of
96 points
and CITS2401 Computer Analysis and Visualisation
or CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
CITS4240 Computer Vision
Advisable prior study
CITS2401 Computer Analysis and Visualisation
And MATH1012 Mathematical Theory and Methods.
Students must have the ability to program in a high-level programming language and the ability to reason in linear algebra and calculus.
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.