EEE40017 · Swinburne University of Technology
Machine Vision
- Credit points
- 12.5
- Level
- 4
- Workload
- ≈ 13 h / week
- Faculty
- Engineering
What it covers
This unit of study aims to provide you with a solid founding of the fundamentals of digital image processing for machine vision applications. Building on digital signal processing theory, you will attain learn how to apply 2D image filtering, sampling, and transformation techniques to solve common machine vision and image processing problems.
Assessment
Assessment not published yet.
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Semester 2 | Hawthorn | On campus |