POISTETTU: Digitaalinen kuvankäsittely (5op)
Toteutuksen tunnus: C-01904-521467A-3006
Toteutuksen perustiedot
- Ilmoittautumisaika
- 08.02.2025 - 12.03.2025
- Ilmoittautuminen toteutukselle on päättynyt.
- Ajoitus
- 10.03.2025 - 04.05.2025
- Toteutus on päättynyt.
- Opintopistemäärä
- 5 op
- Korkeakoulu
- Oulun yliopisto
- Opetuskielet
- englanti
- Paikat
- 0 - 10
- Opintojakso
- C-01904-521467A
Arviointiasteikko
Approbatur - Laudatur
Tavoitteet
Upon completion of the course the student: - understands the basic theory of digital image processing and knows its main applications, - is able to apply spatial and frequency domain methods in image enhancement, restoration, compression, morphological processing and segmentation.
Suoritustavat
Lectures 20 h, exercises 14 h and homework assignments 30 h. The rest is independent work. Mode of delivery: blended teaching.
Suoritustavat
The course is completed by collecting enough points from exams (in-class quizzes or a final exam) and homework assignments.
Sisältö
- Introduction - Fundamentals of digital image - Intensity transformations and spatial filtering - Image processing in frequency domain - Restoration - Color image processing - Compression - Morphological image processing - Segmentation
Oppimateriaalit
Lecture and exercise material, online lecture videos, Jupyter notebook guides and tutorials.
Esitietovaatimukset
Recommended prior courses: 521141P Elementary Programming or equivalent Python programming skills, 031080A Signal Analysis or basic knowledge on signal processing, and basic engineering mathematics.