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ZUG4030 – Image Processing

Undergraduate – Module

Refer to the specific census and withdrawal dates for the semester(s) in which this module is offered.

Faculty

Business, Engineering and Technology

Offered

South Africa
On-campus block of classes

  • Semester 1, 2021 (Mainstream Programme)
  • Semester 1, 2022 (Extended Programme)

8 credits, NQF Level 8

Synopsis

The module covers the fundamentals of image processing: image enhancement in the spatial and frequency domains; image restoration and compression. Applications include machine learning, computer vision, pattern recognition, and their applications in multimedia, biomedical imaging and remote sensing data analysis.

Outcomes

On completion of the module, students will be expected to be able to:

1Apply the basics of digital image processing fundamentals
2Apply spatial and frequency domains techniques in image enhancement
3Apply image and pattern recognition techniques
4Apply image compression algorithms

Assessment

Coursework assessment: 30%
Examination: 70 %

Workload requirements

The module prepares the student to apply mathematical analysis to image data in order to interpret, restore, recognize and learn based on real-world applications. There will be a combination of lectures that include interactive elements, tutorials, laboratory practicals and Moodle, for sharing learning aids, to help students test their own knowledge through informal quizzes, and to administer short formal tests. All outcomes will be assessed by means of tutorial work, assignment, class tests and final examination.

Chief examiner(s)

TBA

Prohibitions

None

Prerequisites

None

Co-requisites

None

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