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EE40054: Digital image processing

[Page last updated: 02 August 2022]

Academic Year: 2022/23
Owning Department/School: Department of Electronic & Electrical Engineering
Credits: 6 [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 1
Assessment Summary: CW 20%, EX 80%
Assessment Detail:
  • Coursework assignment (CW 20%)
  • Examination (EX 80%)
Supplementary Assessment:
EE40054 Mandatory extra work (where allowed by programme regulations)
Requisites:
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.

Aims: The aim of this unit is to introduce the theory and practice of digital image processing.

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.

Programme 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)
  • UEEE-AFM16 : MEng(Hons) Robotics Engineering (Year 4)
  • UEEE-AKM16 : MEng(Hons) Robotics Engineering with Year long work placement (Year 5)
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)

Notes:

  • This unit catalogue is applicable for the 2022/23 academic year only. Students continuing their studies into 2023/24 and beyond should not assume that this unit will be available in future years in the format displayed here for 2022/23.
  • Programmes and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.