This module is not currently running in 2023 to 2024.
Introduction to Matlab
Image representation
Image formation
Grey-scale transformation
Enhancement and extraction of image content
Fourier transforms and the frequency domain
Image restoration, geometrical transformations
Morphology and morphological transformations
Feature extraction
Segmentation
Total contact hours: 30
Private study hours: 120
Total study hours: 150
This is not available as a wild module.
Take Home Test 1 (2 Hours, 15%)
Take Home Test 2 (2 Hours, 15%)
Examination (2 hours, 70%)
Fundamentals of digital image processing: a practical approach with examples in Matlab, Solomon, Chris, Breckon, Toby 2011, Wiley Blackwell, ISBN 0470844736
Gonzalez and Woods, Digital Image Processing, Addison-Wesley, 1992, ISBN 0-201-50803-6
John C. Russ, The Image Processing Handbook, CRC Press, 1995
Matlab: A Practical Introduction to Programming and Problem Solving, Stormy Attaway, Elsevier, 2018, ISBN: 9780128154793
See the library reading list for this module (Canterbury)
The intended subject specific learning outcomes. On successfully completing the module students will be able to:
Have:
Knowledge and understanding of laws and principles of imaging processing, and their application to diverse areas of physics.
An ability to solve problems in image processing using appropriate mathematical tools.
Competent use of appropriate C&IT packages/systems for the analysis of images and the retrieval of appropriate information.
An ability to present, process and interpret information graphically.
An ability to make use of appropriate texts, research-based materials or other learning resources as part of managing their own learning.
The intended generic learning outcomes. On successfully completing the module students will be able to:
Have a knowledge and understanding of:
Problem-solving skills, in the context of both problems with well-defined solutions and open-ended problems; an ability to formulate problems in precise terms and to identify key issues, and the confidence to try different approaches in order to make progress on challenging problems. Numeracy is subsumed within this area.
Analytical skills – associated with the need to pay attention to detail and to develop an ability to manipulate precise and intricate ideas, to construct logical arguments and to use technical language correctly.
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