Course content

Digital images and their properties. Data structures for image analysis. Construction of 2D and 3D filters for image enhancement and analysis. Segmentation and description of objects in images. Pattern recognition. Supervised and unsupervised classification.

Learning outcome

The student will bet a basic understanding of concepts, methods and applications of image analysis, pattern recognition, and image classification.

Admission

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Prerequisites

Formal prerequisite knowledge

In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:

  • Mathematics R1 or Mathematics (S1+S2)

The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies. Read more about special admission requirements (in Norwegian).

INF1010 – Object oriented programming (continued)/INF101 and MAT1100 – Calculus/MAT100.

Recommended previous knowledge

INF2310 – Digital bildebehandling (continued)/INF 160.

Overlapping courses

10 credits with INF4300 – Digital image analysis (continued) and 9 credits with INF 269

Teaching

The course comprises 2 hours of lectures and 2 hours of exercises per week.

Examination

The grade (A-F) is based on an oral or written exam (70%) and on the results of a mandatory project exercise (30%).

Resit an examination

This subject does not offer new examination in the beginning of the subsequent term for candidates who withdraw during an ordinary examination or fail an ordinary examination. For general information about new examination, see /studier/admin/eksamen/sykdom-utsatt/mn/index.html and http://www.matnat.uio.no/english/studies/examination/repeat.html

Other

Note that the first lecture is compulsory. The subject is regarded equal to INF269 and INF4300 when practicing exam regulations.

Course Auditor: Tor L?nnestad

Facts about this course

Credits
10
Teaching
Every autumn

This version of the course will be held for the last time Autumn 2007. INF4300 – Digital image analysis (continued) will still be held.

Examination
Every autumn
Teaching language
Norwegian (English on request)