Expected learning outcomes

The student will be acquainted with fundamental subjects in basic digital image processing. The student will also get experience on practical image processing in an industrial concept.

Topic(s)

Image aquisition, image enhancement, morphology, edge detection, segmentation, motion, texture, analysis, colours, image compression

Teaching Methods

Lectures
E-learning
Exercises
Project work

Teaching Methods (additional text)

The course can be followed by distant learning.

Form(s) of Assessment

Written exam, 3 hours

Form(s) of Assessment (additional text)

Each part must be individually approved of.

Grading Scale

Alphabetical Scale, A(best) – F (fail)

Re-sit examination

Ordinary re-site examination

Examination support

Calculator

Coursework Requirements

3 Project(s) (must have been approved by lecturer/student assistent)

Teaching Materials

V Johansen: Kompendium i Bildebehandling - 2009