AVÊÓƵ

School of Engineering and Informatics (for staff and students)

Image Processing (521H3)

Image Processing

Module 521H3

Module details for 2021/22.

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.

TypeTimingWeighting
Unseen ExaminationSemester 2 Assessment75.00%
Coursework25.00%
Coursework components. Weighted as shown below.
Software ExerciseT2 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.

TermMethodDurationWeek pattern
Spring SemesterLaboratory1 hour00111111110
Spring SemesterLecture2 hours11111111111

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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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, AVÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
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