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 is used in a wide variety fields, for example: medicine, astronomy/astrophysics, satellite imaging (earth, resources, weather forecasting, etc), security, creative industries (film, TV etc), archaeology, etc. An understanding of digital image processing enables extra information to be extracted from images that would not otherwise be possible.

Aims

To provide students with an understanding of of digital images and skills to manipulate images to enhance features or extract quantitative information.

Objectives

1. Develop and demonstrate a basic knowledge and understanding of digital images
2. Understand and apply various methods of generating, storing, transmitting and manipulating digital images.

Content

1. Introduction to digital image processing - applications in medicine, agriculture, astrophysics, etc.
2. Digital image basics - pixels, bits and bytes, color vision and colour images, look up tables, image formats.
3. Digital imaging hardware and software - CCDs, solid state x-ray detectors, DVDs, graphics cards, scanners, digital cameras, image displays, networks, image file formats.
4. Image manipulation using histogram equalization and contrast stretching.
5. Spatial domain image filtering using low and high-pass convolution filters, edge detection.
6. Frequency domain image filtering and reconstruction (using the FFT and inverse FFT).
7. Image compression using lossless/lossy compression algorithms.
8. Measurings distances, angles, area and volumes on images.
9. PACS - Picture Archiving and Communication Systems.

Approaches to Teaching and Learning

Students apply theory learnt in the lectures to laboratory practical exercises and encouraged to think about the utility of digital imaging processing in a wide variety of fields.
Lectures/practicals: 3 hours / week

Practicals: 2 hours / week

Assessment

Assessment is via a theory examination and marked laboratory exercises.Laboratory exercises are handed back with comments about a week after submission.

Assessment name: Examination (Theory)
Description: Examination (theory).
Relates to objectives: All.
Weight: 60%
Internal or external: Internal
Group or individual: Individual
Due date: Approx Week 11

Assessment name: Laboratory/Practical
Description: Practical participation/exercise: Students submit a laboratory report within a week of completion and receive feedback.
Relates to objectives: All.
Weight: 40%
Internal or external: Internal
Group or individual: Individual
Due date: Progressively

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

References:

Fundamentals of Digital Imaging in Medicine, Roger Bourne, Springer, first edition, 2010 ISBN 978-1-84882-086-9

Risk assessment statement

There are no out of the ordinary risks associated with this unit.

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: 19-Oct-2012