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Digital Image Processing (ELEN90076)
Graduate courseworkPoints: 12.5Not available in 2018
Overview
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Images and visual information are integral parts of our daily lives. Digital image processing plays an important role in various practical applications among them: television, medical imaging modalities such as X-ray or ultrasound, photography, security, astronomy and remote sensing. This subject will introduce the fundamentals of image processing and manipulation. While image applications will be used for illustrations, the subject emphasizes general principles of image processing rather than specific applications. It is expected to cover the following topics: introduction to digital image processing, image acquisition and display, image perception, colour representations, image sampling, quantization and image quality measurement, point operations, linear image filtering and correlation, image transforms and sub-band decompositions, contrast and colour enhancement, eigenimages, image segmentation, image restoration and image compression.
Intended learning outcomes
Intended Learning Outcomes (ILOs)
Upon completing this subject, the student is expected to:
- Describe the principles of image formation, acquisition and perception
- Describe the theory and algorithms that are widely used in digital image processing
- Demonstrate a general knowledge on current technologies and issues that are specific to image processing systems
- Develop hands-on experience in using computers to process images
- Define image operations and use the MATLAB Image Processing Toolbox to execute these image operations
- Demonstrate critical thinking about shortcomings of the state of the art in image processing
Generic skills
Upon completion of this subject, students will have developed the following skills:
- Ability to apply knowledge of science and engineering principles to image and video related problems;
- Ability to undertake image and video problem identification and formulate solutions;
- Capacity for independent critical thought, rational inquiry and self-directed learning;
- Develop work collaboration and communication skills.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Enrolment in a research higher degree (MPhil or PhD) in Engineering.
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Students are expected to be familiar with statistics and probability.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Additional details
- Applied research project will be carried out from Weeks 4-11. The students will be divided into groups of two and each research project will require: a written assignment per group (worth 20%), a MATLAB demonstration (worth 10%) and a presentation to the class (worth 10%). (Approximately 55-60 hours of work per student). ILOs 1-6 are addressed in these workshops;
- One written three-hour end-of-semester examination (during the examination period) (60%). ILOs 1-6 are addressed in the exam.
Hurdle requirement: Students must pass the written exam to pass the subject.
Last updated: 3 November 2022
Dates & times
Not available in 2018
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
None
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Philosophy - Engineering Course Doctor of Philosophy - Engineering Course Ph.D.- Engineering - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
Last updated: 3 November 2022