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 … For more content click the Read More button below.

Offerings

S1-01-MALAYSIA-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Associate Professor Anuja Dharmaratne

Learning outcomes

On successful completion of this unit, you should be able to:
1.

Explain the processes of image formation, acquisition, processing and analysis;

2.

Explain the type of algorithm required for a particular image processing task among a wide range of available methodologies;

3.

Develop programs for manipulating grey level and colour images using standard image processing algorithms;

4.

Develop and analyse software for image segmentation, image classification, image data mining, and computer vision;

5.

Develop algorithms to extract and analyse features in medical, document, and other images;

6.

Participate in a team as an image processing specialist communicating with other team members to develop image processing software.

Assessment summary

Examination (2 hours and 10 minutes): 50%; In-semester assessment: 50%.

This unit contains hurdle requirements which you must achieve to be able to pass the unit. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.

Workload requirements

Workload

Availability in areas of study

Advanced computer science