Department of Information and Computing Sciences

Departement Informatica Onderwijs
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Onderwijs Informatica en Informatiekunde

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Website:website met extra informatie
Studiepunten:7.5 ECTS
Periode:periode 1 (week 36 t/m 45, d.w.z. 3-9-2018 t/m 9-11-2018; herkansing week 1)
Deelnemers:tot nu toe 60 inschrijvingen
Rooster:De officiële roosters staan ook in Osiris
college   wo 15.15-17.0037-44 RUPPERT-PAARS Debabrata Panja
Ronald Poppe
vr 11.00-12.4536 RUPPERT-042
37-44 RUPPERT-042
practicum groep 1 vr 9.00-10.4537-44 UNNIK-106
groep 2 vr 9.00-10.4537-44 KBG-228
groep 3 vr 9.00-10.4537-44 BBG-103 CLZ
werkcollege groep 1        Federico D'Ambrosio
studentassistent JM
Inhoud:Image Processing provides basic knowledge and skills for the analysis and processing of digital images. We discuss fundamental and core techniques such as filters, edges and colors. We also treat advanced topics including corner detection, automatic thresholding, geometric operations and scale-invariant feature transforms. The course will be in English. The assignments are mandatory and require C# skills. Course goals:
  • Knowledge of:
    • Ways of describing images, including histograms
    • Linear/non-linear filters and morphological filters
    • Image processing tasks including edge and curve detection and automatic thresholding
    • Color spaces and their relations
    • Shape descriptors, and their comparison
  • Experience with:
    • Designing and deriving filters to enhance images or extract features
    • Applying filters, including morphological filters
    • Designing image processing pipelines
Literatuur:"Principles of Digital Image Processing" by Burger & Burge. It consists of three volumes, which can be downloaded from SpingerLink (free of charge if you access the pages through the UU domain):
Werkvorm:Lectures (15)
Practice sessions (6)
Assignments (3) in pairs (mandatory)
Exam (mandatory)
Toetsvorm:The grade of the final (E) amounts to 50% of the final grade. The two first assignments (A1,A2) count for 10% each, while the final assignment (A3) makes up 30% of the final grade. To pass the course, the exam and the weighted average of the assignments should both be at least 4. The final grade should be at least 5.5.
Inspanningsverplichting voor aanvullende toets:To take part in the re-take, your exam grade should be at least 4.
Beschrijving:There is a strong mathematical component in this course. Required knowledge includes elementary knowledge of finite series, elementary statistics, elementary linear algebra (matrices). If you lack this knowledge, you will be required to master it on your own during the course. For the assignments, experience with C# is recommended.