Main field(s) of study and in-depth level:
Computer Science A1N,
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
The Faculty Board of Science and Technology
120 credits including 30 credits in mathematics and 15 credits in computer science, including Scientific Computing I and Computer Programming II or the equivalent. Mathematical Statistics is recommended. English language proficiency that corresponds to English studies at upper secondary (high school) level in Sweden ("English 6").
On completion of the course, the student should be able to:
explain fundamental notions on computerised image analysis, such as digitizing, image enhancement, segmentation and classification of features;
use methods for image compression, distance computation, frequency analysis, etc.
use software (MATLAB) for implementing algorithms for solving image analysis problems;
analyse and outline the steps necessary to solve a realistic image analysis problem;
give examples of applications in research and industry where image analysis is used.
Representation of images in computers. Image types. Sampling. Image coding and compression.Image processing and image restoration. Point operators. Fundamentals of frequency analysis. Histogram operations. Neighbourhood operators. Mathematical morphology. Segmentation. Shape analysis and feature extraction. Classification and decision theory. Examples of applications from research and industry.
Written examination at the end of the course and approved assignments.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.