Level | Undergraduate |
ECTS Credits | 6 |
Duration | 1 semester (Autumn) |
Language | Norwegian |
Prerequisite(s) | |
Aim | The student shall show knowledge of main subjects in digital image processing and using parts of this knowledge on examples from real industrial projects on machine vision problems. The aim with these projects is to encourage the student to work steady through the semester and get experience from doing team work. The students shall evaluate each other and this will have a learning effect. |
Content | - image aquisition- image enhancement- morphology- edge detection- segmentation- motion- texture analysis- colours- image compression |
Study Methods | Lectures, Project Works, E-learning 2 project tasks where other students will evaluate. |
Assessment | Written Exam, 3 hours (counts 75%) Evaluation by other student(s) (counts 25%) |
Grading System | Alphabetical Scale, A (best) - F (fail) |
Course Requirements | Project Compulsory exercises must be accepted |
Supplementary Information |