Image Processing for BTP

2019-2020
Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

The main goal of the course is to teach students how to apply basic
image processing tools on medical images using MATLAB®. The student
will be able to write efficient MATLAB® applications to addresses and
solve a range of clinical research questions.

Inhoud vak

Image analysis methods play an increasingly important role in medical
science and clinical patient care. This course discusses the most
important image analysis techniques and explains how they can be
applied. These include image histogram analysis, neighbourhood
processing, image fusion, and morphological operations. Rationales for
using these techniques are illustrated with examples from several
imaging modalities and clinical fields. The student then learns how to
apply these techniques practically using MATLAB®. The final mark is the
average of the mark obtained at the written examination and the mark
obtained at the final practical assignment.
Note: This is exactly the same course as X_432630 (Introductie Medische
Beeldbewerking)

Onderwijsvorm

Lectures and practicals

Toetsvorm

50% written examination,
50% assignment practical work.
Both should be sufficient to pass the exam.

Vereiste voorkennis

Some Matlab experience is recommended.

Literatuur

McAndrew, A. Introduction to Digital Image Processing with MATLAB®.
(ISBN 0-534-40011-6). This book will be made available through the
lecturers at a price of around 15 euros.

Doelgroep

MNS, Physics of Life and Health

Algemene informatie

Vakcode X_422612
Studiepunten 6 EC
Periode P2
Vakniveau 400
Onderwijstaal Engels
Faculteit Faculteit der Bètawetenschappen
Vakcoördinator dr. ir. H. Vrenken
Examinator dr. ir. T.J.C. Faes
Docenten dr. ir. H. Vrenken

Praktische informatie

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Werkvormen Hoorcollege, Computerpracticum, Practicum
Doelgroepen

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