Last modified: 20 Jun 2019 12:35
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; simple object and shape recognition; segmentation; pattern recognition; image compression.
|Session||Second Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
This course provides both formal teaching of the fundamentals and hands-on practical work, to build expertise in all aspects of medical image processing and analysis.
In addition to learning standard image processing techniques, students are introduced to some of the major software applications used in the Medical Imaging community. Practical work using Matlab, ImageJ and other tools allows students to develop their expertise in the rapid development of imaging applications. In addition, short project work allows students the opportunity to tackle more significant (and therefore more realistic) standalone imaging-based problems.
Information on contact teaching time is available from the course guide.
1 90 minutewritten examination (66.67%); continuous assessment (33.33%).
Resit: 1 x 90 minute written examination (100%).
There are no assessments for this course.
Assignments will be marked within two weeks of submission and appropriate feedback given.