Last modified: 31 May 2022 13:05
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.
|Second Sub Session
|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.
|Select and apply current and state-of-the-art image processing and analysis algorithms.
|Select and apply appropriate techniques for the iconic processing of medical imagery, including intensity processing; image restoration; spatial and spectral filtering; morphological processing.
|Apply and evaluate the results of image analysis and interpretation techniques based on object and shape recognition; segmentation; pattern recognition.
|Discuss the basis of image formation, image representation, and image display parameters, and the different sources and causes of image degradation.
|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.