Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Human Computer Interaction Business Informatics

Onderwijs Informatica en Informatiekunde

Vak-informatie Informatica en Informatiekunde

Beeldverwerking

Vakcode:INFOIBV
Studiepunten:7.5 ECTS
Periode:periode 1 (week 36 t/m 45, d.w.z. 2-9-2019 t/m 8-11-2019; herkansing week 2)
Timeslot:D
Deelnemers:tot nu toe 71 inschrijvingen
Rooster:De officiële roosters staan ook in Osiris
Docenten:
vormgroeptijdweekzaaldocent
college   wo 15.15-17.0037-40 RUPPERT-PAARS Debabrata Panja
Ronald Poppe
41 BESTUURS-LIEREGG
42-44 RUPPERT-PAARS
vr 11.00-12.4536 RUPPERT-042
37-44 RUPPERT-D
werkcollege groep 1 vr 9.00-10.4536 BBG-112 Mark Dekker
Dan Andrei Ganea
37-44 BBG-112
groep 2 vr 9.00-10.4536 BBG-001 Niels Asberg
37-44 BBG-001
Tentamen:
week: 45vr 8-11-20198.30-10.30 uurzaal: EDUC-GAMMA
week: 2wo 8-1-202017.00-19.00 uurzaal: EDUC-BETAaanvullende toets
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
    • Applying the Hough transform to find parameterized structures
    • Designing image processing pipelines
Up-to-date information will appear on the Blackboard page of the course.
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 (7)
Assignments (4) 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 third and final assignments (A3,A4) each make up 15% of the final grade.
Inspanningsverplichting voor aanvullende toets: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. There is no re-take for the assignments.
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.
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