FIT3081 Image processing
Faculty of Information Technology
FIT3081 Image processing is a level 3, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2023 in Semester 1 at Malaysia. It needs FIT1008 or FIT2085.
- Credit points
- 6
- Offered in 2023
- Semester 1
- Malaysia
- Assessment
- No exam
- 4 tasks
- Workload
- 144 hours
- per semester
The 2027 handbook has no page for FIT3081. This is its 2023 entry, the latest one.
Reviews
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Requisites
Before FIT3081
Prerequisites
Pass these before you enrol.
After FIT3081
No unit lists FIT3081 as a prerequisite in the 2023 handbook.
Overview
This unit introduces fundamental image processing techniques for the digital manipulation of 2D image data. Algorithms explored include those for edge detection, image enhancement, feature and shape extraction, segmentation and noise removal. The unit provides students an opportunity to develop theoretical understanding of these algorithms, and practical skills in implementing and applying them to real image data.
Offerings in 2023
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
Assessment
- Assessment 1Assignment15%
- Assessment 2Assignment35%
- Assessment 3Other20%
- Final Take-home assessmentOther30%
Learning outcomes
When you finish this unit, you should be able to:
- 1
explain the type of algorithms required for a particular image processing task among a wide range of available methodologies
- 2
develop programs for manipulating grey level and colour images using standard image processing algorithms;
- 3
develop and analyse algorithms for image enhancement, edge detection, image segmentation, image classification, machine learning and computer vision;
- 4
develop algorithms to extract and analyse features in large databases of medical, document, and other images
- 5
participate in a team as an image processing specialist communicating with other team members to develop image processing software.
Workload and teaching
- Workshops48 hours
- Teaching approachProblem-based learning
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
Learning resources
Required resources
Prescribed text(s)
Limited copies of prescribed texts are available for you to borrow in the library.
- R. C. Gonzalez and R. E. Woods, Digital Image Processing, Pearson; 4th edition, 2017
- R. C. Gonzalez and R. E. Woods, Digital Image Processing Using Matlab, 2nd Edition, 2009
Where it fits
FIT3081 is part of 3 areas of study in the 2023 handbook.
Contacts
- Chief Examiners
- Professor Raveendran Paramesran
Common questions
When is FIT3081 offered?
In 2023, FIT3081 runs in Semester 1 at Malaysia.
How much work is FIT3081?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT3081 have an exam?
No. FIT3081 has 4 assessment tasks and no exam.
Which majors and minors include FIT3081?
FIT3081 is part of Advanced computer science, Computational science and Software engineering.