Waikato Home
ENGEE532-23B (HAM)
Image Processing and Machine Vision
15 Points
Staff
Convenor(s)
|
Lee Streeter
4106
CD.1.03
lee.streeter@waikato.ac.nz
|
|
Lecturer(s)
|
Michael Cree
4301
DE.2.02
michael.cree@waikato.ac.nz
|
|
Administrator(s)
Librarian(s)
You can contact staff by:
- Calling +64 7 838 4466 select option 1, then enter the extension.
-
Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
- For extensions starting with 4: dial +64 7 838 extension.
- For extensions starting with 5: dial +64 7 858 extension.
- For extensions starting with 9: dial +64 7 837 extension.
- For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
What this paper is about
This course introduces the basics of image processing and machine vision. The ultimate goal is to train students to be able to look at a problem requiring sensing (e.g. robotic control or measurement) and be able to determine if machine vision is appropriate, and be able to create a solution.
In the first half, students will learn the fundamentals of how images are formed, "image domain" processing and analysis techniques, and deep learning for image classification.
The second half will cover optimisation, processing in the Fourier domain, range imaging (measuring distance with cameras), and motion analysis in video data.
The learning outcomes for this paper are linked to Washington Accord graduate attributes WA1-WA11. Explanation of the graduate attributes can be found at: https://www.ieagreements.org/
How this paper will be taught
Learning Outcomes
Students who successfully complete the course should be able to:
Assessments
How you will be assessed
This paper will be internally assessed.
The internal assessment will comprise two written assignments, four laboratory reports, and two tests. The students must write a short report for each project including algorithm design, methods and annotated code, explaining how they achieved the set tasks. IEEE conference format will be used in reporting.
The two written assignments will be worth 5% of the final grade each. The four reports will be worth 10% of the final grade each. Assignment and report dates are approximate, and exact dates will be announced in class.
In lieu of an exam, there will be two computer based and handwritten tests. The first test will be at the end of the first half trimester, and the second after the end of the second half. The tests will each contribute 25% of the final grade.
Samples of your work may be required as part of the Engineering New Zealand accreditation process for BE(Hons) degrees. Any samples taken will have the student name and ID redacted. If you do not want samples of your work collected then please email the engineering administrator, Natalie Shaw (natalie.shaw@waikato.ac.nz), to opt out.
The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam.