CSMIA19-Image Analysis

Module Provider: School of Mathematical, Physical and Computational Sciences
Number of credits: 10 [5 ECTS credits]
Level:7
Terms in which taught: Autumn / Summer term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded: CS3IA16 Image Analysis
Current from: 2019/0

Module Convenor: Dr Hong Wei

Email: h.wei@reading.ac.uk

Type of module:

Summary module description:

The module delivers a set of topics involved in image analysis, such as image enhancement, image compression, image segmentation, and colour image processing. Relevant techniques are introduced in lectures and practised in assigned lab-based coursework.  


Aims:

The module aims to provide students with theoretical and practical knowledge of digital image processing and analysis from various techniques and applications.



This module also encourages students to develop a set of professional skills, such as problem solving; critical analysis of published literature; creativity; technical report writing for technical and non-technical audiences; self-reflection; and effective use of commercial software.


Assessable learning outcomes:

Students who complete this module will have:




  • basic skills for image analysis;

  • the ability to address issues associated with techniques of image transformation, histogram analysis and modification, image morphological operations and colour image manipulation;

  • skills to develop algorithms for digital image enhancement, image compression and texture based image segmentation.


Additional outcomes:

Programming skills can be improved from coursework assignments, which associate with practical assignments.  Research studies are also involved in coursework assignments.


Outline content:

The module covers the following topics.




  • digital image fundamentals;

  • image enhancement in the spatial domain;

  • image enhancement in the frequency domain;

  • colour image processing;

  • mathematical morphology in image processing;

  • image compression;

  • image segmentation.


Brief description of teaching and learning methods:

Lectures supported by tutorials and laboratory practicals.


Contact hours:
  Autumn Spring Summer
Lectures 16 1
Tutorials 2
Demonstration 2
Guided independent study: 69 10
       
Total hours by term 89 11
       
Total hours for module

Summative Assessment Methods:
Method Percentage
Written exam 70
Report 30

Summative assessment- Examinations:

One 2 hour examination


Summative assessment- Coursework and in-class tests:

2 pieces of coursework assignments


Formative assessment methods:

Penalties for late submission:
Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx

Assessment requirements for a pass:

A mark of 50% overall.


Reassessment arrangements:

(During the August University Resit Period):



One examination paper of 2 hours - the resit module mark will be the higher of the exam mark (100% exam) and the exam mark plus previous coursework marks (70% exam, 30% coursework).


Additional Costs (specified where applicable):

Last updated: 10 April 2019

THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.

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