Image Processing (521H3)
Image Processing
Module 521H3
Module details for 2022/23.
15 credits
FHEQ Level 7 (Masters)
Module learning outcomes
Design and critically analyse an optical camera system for capturing images and apply to processing the image for a given task.
Design and critically assess methods for the segmentation of different types of image or video stream.
Demonstrate systematic knowledge of the principles of two dimensional convolution operators and their relationship to image processing tasks.
Design and critically analyse a image processing algorithm for a given real world task.
Type | Timing | Weighting |
---|---|---|
Unseen Examination | Semester 2 Assessment | 75.00% |
Coursework | 25.00% | |
Coursework components. Weighted as shown below. | ||
Software Exercise | T2 Week 11 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
Term | Method | Duration | Week pattern |
---|---|---|---|
Spring Semester | Laboratory | 1 hour | 00111111110 |
Spring Semester | Lecture | 2 hours | 11111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
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