AM/AMP23: Image Processing and Analysis (9 ECTS)
STADS: 2101901Level
PhD course
Teaching period
Varying.
Teacher responsible
Email: ivb@mip.sdu.dkTimetable
| Group | Type | Day | Time | Classroom | Weeks | Comment |
|---|---|---|---|---|---|---|
| Common | I | Tuesday | 08-11 | u26 | 5-7,9-10 | |
| Common | I | Tuesday | 08-11 | Mærsk | 8 | |
| Common | I | Wednesday | 13-16 | u49 | 5,10 | |
| Common | I | Wednesday | 12-16 | u49 | 6-7,9 |
Show personal time table for this course.
Comment:
03.12.2004:Skema
10.02.2005:Skemaændringer
Prerequisites:
None
Academic preconditions:
AM37must be passed. Semi-compulsory Ph.D-studerende: DM02 and DM03 is recommended
Course introduction
To familiarise participants with problems and advanced techniques for computer vision.
Expected learning outcome
Subject overview
Acquisition, representation, transformation, preprocessing and analysis of digital images. Image understanding, segmentation, morphology, pattern recognition, Fourier methods, and computer vision.
Literature
- Oplyses ved kursets start.
Website
This course uses e-learn (blackboard).
Prerequisites for participating in the exam
None
Assessment and marking:
Graded approval of a project report with external evaluation. Marks according to the 13-point marking scale.
Expected working hours
The teaching method is based on three phase model.
Forelæsninger (45t) og projektmøder (45t).
Educational activities
Language
This course is taught in English, if international students participate. Otherwise the course is taught in Danish.
Course enrollment
See deadline of enrolment.
Tuition fees for single courses
See fees for single courses.
