|Periode:||periode 1 (week 36 t/m 45, d.w.z. 2-9-2019 t/m 8-11-2019; herkansing week 1 (bachelor) / 2 (master))|
|Deelnemers:||tot nu toe 71 inschrijvingen|
|Rooster:||De officiële roosters staan in MyTimetable|
|Docenten:||Dit is een oud rooster!
|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:
|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):|
Practice sessions (7)
Assignments (4) in pairs (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.|