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Cursus: INFOIBV
INFOIBV
Beeldverwerking
Cursus informatieRooster
CursuscodeINFOIBV
Studiepunten (ECTS)7,5
Categorie / Niveau3 (Bachelor Gevorderd)
CursustypeCursorisch onderwijs
VoertaalEngels
Aangeboden doorFaculteit Betawetenschappen; Undergraduate School Bètawetenschappen;
Contactpersoondr. ir. R.W. Poppe
Telefoon31 (30) 2533826
E-mailR.W.Poppe@uu.nl
Docenten
Docent
dr. D. Panja
Overige cursussen docent
Docent
dr. ir. R.W. Poppe
Overige cursussen docent
Contactpersoon van de cursus
dr. ir. R.W. Poppe
Overige cursussen docent
Blok
1  (03-09-2018 t/m 09-11-2018)
Aanvangsblok
1
TimeslotD: WO-middag, WO-namiddag, Vrijdag
Onderwijsvorm
Voltijd
Cursusinschrijving geopendvanaf 28-05-2018 t/m 24-06-2018
AanmeldingsprocedureOsiris
Inschrijven via OSIRISJa
Inschrijven voor bijvakkersJa
VoorinschrijvingNee
Na-inschrijvingJa
Na-inschrijving geopendvanaf 20-08-2018 t/m 21-08-2018
WachtlijstJa
Plaatsingsprocedureadministratie onderwijsinstituut
Cursusdoelen
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
  • Spectral techniques and the relation between continuous and discrete
  • Color spaces and their relations
  • Shape descriptors, including Fourier shape descriptors
Experience with:
  • Designing and deriving filters to enhance images or extract features
  • Applying filters, including morphological filters
  • Designing image processing pipelines
Inhoud
Image Processing offers the basic knowledge required for manipulation of digital images. This includes simple operations on grey values (for example for image enhancement and object extraction) and spatial operations (for example for detecting object edges and geometric image transformation). The course will be in English and includes these topics:
  • Histograms and point operators
  • Filters and edges
  • Morphological filters
  • Spectral techniques
  • Color spaces and quantization
  • Detecting curves and corners
  • Automatic thresholding
  • Comparing images
Ingangseisen
Voorkennis
There is a strong mathematical component in this course. Required knowledge includes elementary knowledge of finite series, elementary statistics, elementary linear algebra (matrices). Knowledge on complex numbers will be helpful to understand the Fourier transform related topics. 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.
Verplicht materiaal
Boek
Principles of Digital Image Processing" by Burger & Burge. Book 1: Fundamental Techniques - Book 2: Core Algorithms - Book 3: Advanced Methods
Reader
Advanced Engineering Mathematics (10th Edition), by Erwin Kreyszig (Chapter 11), for which we will provide the material.
Werkvormen
Hoorcollege

Practicum

Toetsen
Eindresultaat
Weging100
Minimum cijfer-

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