Course Details | Detailed Course Information | Course Staff | Course Timetable | Related Links
| Course Code | ELEC ENG 4061 |
| Course | Image Processing |
| Coordinating Unit | School of Electrical & Electronic Engineering, Faculty of Engineering, Computer and Mathematical Sciences |
| Term | Semester 2 2013 |
| Mode | Internal |
| Level | Undergraduate |
| Location/s | North Terrace |
| Units | 3 |
| Contact | Up to 3 hours per week |
| Prerequisites | Not applicable |
| Corequisites | Not applicable |
| Incompatible | Not applicable |
| Assumed Knowledge | ELEC ENG 3033, COMP SCI 1008 COMP SCI 1009 |
| Restrictions | Not applicable |
| Quota | Not applicable |
| Course Description | Overview of imaging sensors and principles including various imaging devices. Measures of imaging quality through point spread function, resolution and spatial sampling. Storage requirements, including image representation, coding and compression techniques, lossy versus lossless. Techniques for reducing noise in images, feature enhancement and recognition. Image enhancement including contrast manipulation, histogram equalization and derivative based operators. Segmentation and thresholding techniques Applications of morphology to image processing including erosion and dilation operations for binary and grey scale images. Filtering and transform techniques for image processing including two dimensional Fourier transforms, wavelets and convolution. Extension topics may include image registration, super-resolution techniques for video processing and object classification using features extracted from images. |
Includes Learning Objectives, Learning Resources, Teaching & Learning
The enrolment dates, fees and full timetable of all activities for this course can be accessed from the Course Planner.
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