Computer Assisted Image Analysis NV2
7.5 credits
Syllabus, Master's level, 1TD384
This course has been discontinued.
A revised version of the syllabus is available.
- Code
- 1TD384
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Computer Science A1F
- Grading system
- Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
- Finalised by
- The Faculty Board of Science and Technology, 6 November 2007
- Responsible department
- Department of Information Technology
Entry requirements
120 ECTS credits, where Computer-Assisted Image Analysis NV1 or the equivalent and Mathematical statistics, 5 ECTS credits is covered.
Content
Methods for solving problems in image analysis.
Construction of filters for image enhancement and analysis. Registration of
images, search methods and optimisation. Digital geometry. Colour images and other multidimensional images. Analysis of 3D images
(volume, stereo, and time series). Computer vision.
Instruction
Lectures, laboratory work and compulsory assignments.
Assessment
Written examination at the end of the course, passed laboratory course and approved compulsory assignments.