Computer-Assisted Image Analysis I
Course, Master's level, 1TD396
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
120 credits including 30 credits in mathematics and 10 credits in computer science, including Scientific Computing I/Introduction to Scientific Computing and Computer Programming I, Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 April 2026
- Application code
- UU-12030
Admitted or on the waiting list?
- Registration period
- 19 October 2026–8 November 2026
- Information on registration from the department
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
120 credits including 30 credits in mathematics and 10 credits in computer science, including Scientific Computing I/Introduction to Scientific Computing and Computer Programming I, Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 19 October 2026–8 November 2026
- Information on registration from the department
About the course
Have you worked with photos, using photo digital software? You might have improved the focus of a blurry photo. If that is the case, you have worked with digital image analysis. In digital image analysis, we deal with the problem of automatically transforming images into information and, at its best, into knowledge. There are many applications, e.g. in forestry and agriculture, environmental supervision, astronomy, medicine and industrial quality control. The image can come from a microscope, a computer tomograph, a TV camera, a satellite or a telescope. The size of the image can range from a few micrometres to light-years. The aim can be analysis made by the human eye or a computerised analysis.
Through the use of computers and mathematical transformations, the image can be improved to make a visual interpretation easier. Data such as size, texture and number can be found in the image. The data can be processed statistically leading to an interpretation and a decision.