CSMIA19-Image Analysis

Module Provider: Computer Science
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: 2020/1

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. Research elements are built into the coursework assignment to enhance students’ research studies. 


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.

  • skill of critical analysis existing techn iques and decision making in solving a real-world problem.


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: 79
       
Total hours by term 0
       
Total hours for module 100

Summative Assessment Methods:
Method Percentage
Written exam 70
Set exercise 30

Summative assessment- Examinations:

One 2-hour examination paper in May/June.


Summative assessment- Coursework and in-class tests:

Two  pieces of coursework - each takes 15% of the module assessment.


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:

One 2-hour examination paper in August/September. Note that the resit module mark will be the higher of (a) the mark from this resit exam and (b) an average of this resit exam mark and previous coursework marks, weighted as per the first attempt (70% exam, 30% coursework). 


Additional Costs (specified where applicable):

Last updated: 16 April 2020

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

Things to do now