Last modified: 16 Aug 2021 13:46
Image processing and analysis includes many tools and techniques widely used in the field of Medical Imaging. Topics covered in this course include image formation, representation and display; image degradation and restoration; intensity processing; spatial and spectral filtering; image registration and fusion; simple object and shape recognition; segmentation; pattern recognition; image compression; 3D and 4D image rendering.
|Session||Third Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
Information on contact teaching time is available from the course guide.
Resit: Open Book Exam
There are no assessments for this course.
|Knowledge Level||Thinking Skill||Outcome|
|Procedural||Analyse||Analyse the major methods of image compression and their limitations, and discuss the essential requirements when such techniques are applied in the field of medical imaging.|
|Conceptual||Understand||Discuss the basis of image formation, image representation, and image display parameters, and the different sources and causes of image degradation.|
|Procedural||Analyse||Select and apply current and state-of-the-art image processing and analysis algorithms.|
|Procedural||Evaluate||Apply and evaluate the results of image analysis and interpretation techniques based on object and shape recognition; segmentation; pattern recognition.|
|Procedural||Analyse||Select and apply appropriate techniques for the iconic processing of medical imagery, including intensity processing; image restoration; spatial and spectral filtering; morphological processing.|