Department of Electronic & Electrical Engineering, Unit Catalogue 2007/08 |
EE40054 Digital image processing |
| Credits: 6 |
| Level: Masters |
| Semester: 1 |
| Assessment: CW 25%, EX 75% |
| Requisites: |
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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. Skills: Application of the techniques introduced in the lectures to practical image processing problems: taught, facilitated and tested. Content: 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. |