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: 2021/2

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.ÌýÌý

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.

This module will be assessed to a greater depth than the excluded module CS3IA16.

Additional outcomes:

Programming skills can be improved from coursework assignments, which associate with practical assignments.Ìý 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.

Summative assessment- Examinations:

One 2-hour examination paper in May/June.

Summative assessment- Coursework and in-class tests:

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

Formative assessment methods:

Penalties for late submission:

The below information applies to students on taught programmes except those on Postgraduate Flexible programmes. Penalties for late submission, and the associated procedures, which apply to Postgraduate Flexible programmes are specified in the policy 􀀓Penalties for late submission for Postgraduate Flexible programmes􀀔, which can be found here: