Computer-Assisted Image Analysis I
Course, Master's level, 1TD396
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 October 2023–14 January 2024
- 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.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
-
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- Application fee: SEK 900
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 17 April 2023
- Application code
- UU-12030
Admitted or on the waiting list?
- Registration period
- 17 October 2023–7 November 2023
- Information on registration.
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 October 2023–14 January 2024
- 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
- 17 October 2023–7 November 2023
- Information on registration.
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, in 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.