Module Name Module Code Module Co-ordinator Department Module Level Credit rating

gurgleplayAI and Robotics

Oct 18, 2013 (3 years and 9 months ago)

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Module Name

Module Code


Module Co
-
ordinator

Department


Module Level

Credit rating


Prerequisites

Co
-
requisites

Computer and Machine Vision

EE506


Prof. John Ringwood

Electronic Engineering


5

7.5 ECTS credits


Linear algebra, geometry, programming skil
ls (C, MATLAB)

None



Aims




Learning Outcomes



To introduce the student to the theory, applications and techniques of
computer and machine vision. To provide students with an understanding of
the problems involved in the development and implementation
of vision
systems.

Having successfully completed this course, the student will:

* Be familiar with the essential elements of machine vision systems.

* Have the ability to design and implement image processing, analysis and
classification techniques.

*

have a knowledge of the performance of commercial vision systems.

* be able to evaluate emerging computer and machine vision technologies.
























Physiological Modelling


Cardiovascular modeling, Muscle Models, Blood pressure regulat
ion models,
auditory and visual systems modelling.



Time Allowance for Constituent Elements

Lectures

36 hours

Workshops

12 hours

Assignment (3)

36 hours

Independent Study

36 hour
s


Indicative Syllabus


Introduction

Sensors, Optics & Lighting; Image Representation

External Devices

Point Operations; Neighbourhood Operations

Feature Extraction; Image Analysis

Image Classification

Image Transforms

Morphology

Texture Analysis

Colour Analysis

3D Imaging Techniques

Intelligent Vision

Systems Engineering

Industrial Case Studies




Elements and Forms of Assessment


On
-
line examination


Total

25%

Assignments (3 at 25% each)


Total

75%


Penalties:
Any plagiarism results in expulsion from programme.


Pass Standard and any Special
Requirements for Passing Modules:
Pass 40%
-

students are not
required to pass the examined and continuous components separately


an overall pass mark of 40% is
acceptable.





Recommended Text



Background Reading






David A. Forsyth, Jean Ponce

Comput
er Vision: A Modern Approach,
Prentice
-
Hall, 2003.


Linda Shapiro, George Stockman
Computer Vision
, Prentice
-
Hall, 2001.





Programmes currently utilising module


ME in Electronic Engineering