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Vår 2020
FYS-2010 Digital image processing - 10 stp
The course is administrated by
Type of course
Course overlap
Course contents
Application deadline
Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester.
Exchange students and Fulbright students: 1 October for the spring semester and 15 April for the autumn semester.
Admission requirements
Objective of the course
Knowledge - The student can:
- describe fundamental image processing techniques
- use basic image processing techniques to solve a given problem
Skills - The student can:
- explain the theory behind and application domain of various basic intensity transforms, spatial filters and frequency domain filters
- apply image restoration and reconstruction techniques
- apply color image processing techniques
- explain image segmentation and thresholding techniques
- evaluate various image processing techniques applied to a given problem
General expertise - The student can:
- implement image processing techniques in a programming language
- interpret and discuss various image processing techniques
Language of instruction
Teaching methods
Assessment
Portfolio assessment:
- a take-home examination counting about 20 %
- a final 4 hour written examination counting about 80 %.
All components in the portfolio are assessed as a whole and one combined grade is given.
Assessment scale: Letter grades A-F. A is the highest grade and F is failed.
Postponed examination (sections 17 and 21): Students with valid grounds for absence will be offered a postponed examination. Postponed take-home examination is arranged during the semester if possible, otherwise early in the following semester. Postponed written examination is held early in the following semester.
See indicated sections in Regulations for examinations at the UiT The arctic university of Norway for more information.
Date for examination
The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.