EE40054: Digital image processing
[Page last updated: 15 October 2020]
Academic Year: | 2020/1 |
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
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Assessment Summary: | CW 20%, EX 80% |
Assessment Detail: |
- Coursework assignment (CW 20%)
- Examination (EX 80%)
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Supplementary Assessment: |
- EE40054 Mandatory extra work (where allowed by programme regulations)
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Requisites: |
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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. |
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)
Department of Mathematical Sciences
- TSMA-AFM08 : MSc Modern Applications of Mathematics
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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Notes: - This unit catalogue is applicable for the 2020/21 academic year only. Students continuing their studies into 2021/22 and beyond should not assume that this unit will be available in future years in the format displayed here for 2020/21.
- 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.
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