Aims and Fit of Module

The module aims to introduce the basic concepts of digital image processing and pattern recognition. The module analyses how the human visual system works moving on to the engineering mathematics and computer science that are important to digital imagery.
In that this is an optional module, to well utilise the university resource, the module delivery is subject to meeting a minimum number of students (10).

Learning outcomes

A. Demonstrate understanding of the basic principles of digital image processing.

B. Demonstrate understanding of the techniques used in digital image processing.

C. Demonstrate appreciation of the areas of applications for various image enhancement techniques.

D. Apply relevant image enhancement techniques to a given problem.

E. Employ basic skills to develop image processing software.

Method of teaching and learning

The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This has meant that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contribution from industry partners. This philosophy is carried through also in terms of assessment, with reduction on the use of exams and increase in coursework, especially problem-based assessments that are project focused. The delivery pattern provides space in the semester for students to concentrate on completing the assessments.

The module will be delivered via lectures and supervised laboratory sessions, which will include demonstrations of image
In that this is an optional module, to well utilise the university resource, the module delivery is subject to meeting a minimum number of students (10).