- Student Records
Programme & Unit Catalogues

Department of Electronic & Electrical Engineering, Unit Catalogue 2007/08

EE40054 Digital image processing

Credits: 6
Level: Masters
Semester: 1
Assessment: CW 25%, EX 75%
Aims: The aim of this unit is to introduce the theory and practice of digital image processing.
Learning Outcomes:
After completing this unit students should be able to:
* Explain the elements of human vision system including monochrome and colour vision and perception.
* Describe the components of a digital image processing system and the digital representation of monochrome and colour images.
* Understand and apply a range of image enhancement techniques, including linear, non-linear and temporal filters.
* Implement both first and second order edge detection algorithms and explain their relative merits.
* Describe the operation of a variety of featured extraction techniques.
* Understand the main properties of various image transforms and explain transform domain filtering.
* Explain the role of relaxation labelling in image interpretation.
Application of the techniques introduced in the lectures to practical image processing problems: taught, facilitated and tested.
The human vision system: monochrome and colour vision, perception. Digital imaging systems: system model, sampling and quantisation. Image enhancement: point operators and neighbourhood operators, linear and non-linear filters, spatio-temporal filtering. Image interpretation: edge detection, feature extraction and classification. Transforms: transform properties and uses, specific transforms including the two-dimensional Fourier and cosine, Karhunen-Loève, Walsh and Wavelet transforms. Colour: colour models, pseudo- and full-colour image processing. Scene labelling: discrete and probabilistic relaxation.