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EE40054: Digital image processing

[Page last updated: 15 October 2020]

Follow this link for further information on academic years Academic Year: 2020/1
Further information on owning departmentsOwning Department/School: Department of Electronic & Electrical Engineering
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: CW 20%, EX 80%
Further information on unit assessment Assessment Detail:
  • Coursework assignment (CW 20%)
  • Examination (EX 80%)
Further information on supplementary assessment Supplementary Assessment:
EE40054 Mandatory extra work (where allowed by programme regulations)
Further information on requisites Requisites:
Description: 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.
Further information on programme availabilityProgramme availability:

EE40054 is Compulsory on the following programmes:

Department of Electronic & Electrical Engineering
  • UEEE-AFM13 : MEng(Hons) Computer Systems Engineering (Year 4)
  • UEEE-AKM13 : MEng(Hons) Computer Systems Engineering with Year long work placement (Year 5)

EE40054 is Optional on the following programmes:

Department of Electronic & Electrical Engineering
  • UEEE-AFM01 : MEng(Hons) Electrical and Electronic Engineering (Year 4)
  • UEEE-AKM01 : MEng(Hons) Electrical and Electronic Engineering with Year long work placement (Year 5)
  • UEEE-AFM12 : MEng(Hons) Electrical Power Engineering (Year 4)
  • UEEE-AKM12 : MEng(Hons) Electrical Power Engineering with Year long work placement (Year 5)
  • UEEE-AFM14 : MEng(Hons) Electronic Engineering with Space Science & Technology (Year 4)
  • UEEE-AKM14 : MEng(Hons) Electronic Engineering with Space Science & Technology with Year long work placement (Year 5)
  • UEEE-AFM15 : MEng(Hons) Electronic Systems Engineering (Year 4)
  • UEEE-AKM15 : MEng(Hons) Electronic Systems Engineering with Year long work placement (Year 5)
  • UEXX-AFM02 : MEng(Hons) Integrated Mechanical and Electrical Engineering (Year 4)
  • UEXX-AKM02 : MEng(Hons) Integrated Mechanical and Electrical Engineering with Year long work placement (Year 5)
Department of Mathematical Sciences Department of Mechanical Engineering
  • UEME-AFM48 : MEng(Hons) Integrated Design Engineering (Year 4)
  • UEME-AKM48 : MEng(Hons) Integrated Design Engineering with Year long work placement (Year 5)

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