Units

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Sample subject outline - Semester 1 2013

Note: Subject outlines often change before the semester begins. Below is a sample outline.

Rationale

Digital Image Processing may be considered among the 20 most influential technologies of the 20th century. It has revolutionized application areas such as medical diagnosis, machine vision for automation, security, remote sensing, motion pictures, television, home entertainment and education. It is important for students to be exposed this rapidly expanding area. This unit gives an introduction to the area of image processing and its applications. It is offered as an elective in the final year of an engineering course building on the mathematics and signals and systems analysis studies in the first three years. It can provide complementary background knowledge to students who take up final year projects or postgraduate studies related to digital image processing.

Aims

The aim of this unit is to introduce you to selected applications of digital image processing techniques.

Objectives

At the end of this unit, you will be able to:
1. Analyse image processing algorithms.
2. Implement image processing algorithms for various applications.
3. Evaluate the performance of the implemented image processing techniques.
4. Communicate your work through a written report of professional standard.

Content

You will learn concepts, algorithms and the use of software tools for Image processing for specific applications.

Approaches to Teaching and Learning

Hours per week: 4
Lecture/tutorial: 2
Laboratory/tutorial: 2

The unit is delivered using a combination of lectures and hands-on programming laboratory and tutorial exercises to apply theory to practice.

All learning resources and assessment tasks are made available through the Blackboard site for the unit.

Assessment

Assessment includes presentations of laboratory work to the tutor, and final reports on a project and a final examination.Oral feedback will be provided during tutorial and laboratory presentations. Achievement on laboratory exercises will be marked and made available via Blackboard. These may be used formatively for remaining tasks. Written comments will be provided on the final project report.

Assessment name: Laboratory/Practical
Description: :You will complete and submit a set laboratory exercises during weeks 2-9.
Relates to objectives: 1-4
Weight: 30%
Internal or external: Internal
Group or individual: Group with Individual Component
Due date: Week 9

Assessment name: Group Mini-project task
Description: Complete a digital image processing application (project) and submit a written report in a small group of 2 - 3..
Relates to objectives: 1-4
Weight: 30%
Internal or external: Internal
Group or individual: Group with Individual Component
Due date: Week 13

Assessment name: Examination (written)
Description: Provide subjective answers to questions supported with mathematical equations and code fragments.
Relates to objectives: 1-4
Weight: 40%
Internal or external: Internal
Group or individual: Individual
Due date: Examination period

Academic Honesty

QUT is committed to maintaining high academic standards to protect the value of its qualifications. To assist you in assuring the academic integrity of your assessment you are encouraged to make use of the support materials and services available to help you consider and check your assessment items. Important information about the university's approach to academic integrity of assessment is on your unit Blackboard site.

A breach of academic integrity is regarded as Student Misconduct and can lead to the imposition of penalties.

Resource materials

Type: Recommended Reference Book
Author: R. C. Gonzalez and R. E. Woods
Title: Digital Image Processing
Year: 2008 Publisher: Prentice-Hall
Edition: 3rd Ed

Type: Recommended Reference Book
Author: M.Sonka,V.Hlavac and R.Boyle
Title: Image Processing, Analysis and Machine Vision
Year: 2008; Publisher: Thomson
Edition: 3rd Ed

Risk assessment statement

You are required to do tutorials under the supervision of a tutor in a computer laboratory. You will not be required to use any hardware for this unit. If you choose to use an acquisition device such as a camera, you should make sure that you have completed a health and safety orientation and induction that covers the use of such hardware prior to undertaking the activity. The group mini-project is intended to be a software only exercise. You must comply with all QUT health and safety policy regulations.

Disclaimer - Offer of some units is subject to viability, and information in these Unit Outlines is subject to change prior to commencement of semester.

Last modified: 22-Oct-2012