CS3IA16-Image Analysis

Module Provider: Computer Science
Number of credits: 10 [5 ECTS credits]
Level:6
Terms in which taught: Autumn / Summer term module
Pre-requisites: CS1MA16 Mathematics for Computer Science or MA1LA Linear Algebra
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2019/0

Module Convenor: Dr Hong Wei

Email: h.wei@reading.ac.uk

Type of module:

Summary module description:

ÌýThe 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.Ìý

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.

Outline content:

This modulecovers 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 laboratory practicals and tutorials.

Contact hours:

Ìý	Autumn	Spring	Summer
Lectures	16
Tutorials	2		1
Guided independent study:	81
Ìý	Ìý	Ìý	Ìý
Total hours by term	99		1
Ìý	Ìý	Ìý	Ìý
Total hours for module	100

Summative Assessment Methods:

Method	Percentage
Written exam	70
Report	30

Summative assessment- Examinations:

One 2 hour examination paper in May/June.

Summative assessment- Coursework and in-class tests:

Two pieces of coursework.

Formative assessment methods:

Penalties for late submission:
The Module Convener will apply the following penalties for work submitted late:

where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day[1] (or part thereof) following the deadline up to a total of five working days;

where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

The University policy statement on penalties for late submission can be found at:
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Assessment requirements for a pass:
A mark of 40% overall

Reassessment arrangements:

One examination paper ofÌý2 hours duration in August/September - 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):
1) Required text books:
2) Specialist equipment or materials:
3) Specialist clothing, footwear or headgear:
4) Printing and binding:
5) Computers and devices with a particular specification:
6) Travel, accommodation and subsistence:

Last updated: 8 April 2019