Computer Assisted Image Analysis MN2
Syllabus, D-level, 1TD374
This course has been discontinued.
- Code
- 1TD374
- Level
- D
- Subject(s)
- Computer Science
- Grading system
- Pass with distinction (VG), Pass (G), Fail (U)
- Finalised
- 29 May 2000
- Responsible department
- Department of Information Technology
Entry requirements
Computer-Assisted Image Analysis MN1 or the
equivalent and Mathematical statistics.
Aims
To give a deeper knowledge of theory and methods in image analysis, with an emphasis on the
analysis of multidimensional images.
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 are also required.