Last modified: 13 Jul 2017 14:56
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.
|Session||Second Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
Topics covered 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
This is the total time spent in lectures, tutorials and other class teaching.
1 one-hour written examination (66.67%); continuous assessment (33.33%).
Resit: 1 x 90 minute written examination (100%).