Introduction to Image Acquisition Methods
Dr. Martin Welk
(bld. E11, room 3.10.1, phone 0681-302-57343)
Lectures (2h) –
4 credit points (computer science; visual computing)
3 credit points (mathematics)
(11 a.m.–1 p.m.),
Bld. E13, Lecture hall 001
Course begins October 23, 2006.
Entrance requirements –
Assessments / Exams –
Exam results have been sent to all participants of the written exam by
personal mail. If you have not received this mail, please contact Martin Welk.
Inspection of written exam sheets is possible on Thursday, March 15, 2007,
1400–1500h (2–3 p.m.) in Martin Welk's office, or at other times on
Second chance exams for those who failed the
first exam, or who did not
take part in the first exam, will be held as oral exams, on
individual appointment, preferably on April 12.
Those who failed the first exam have already been communicated their scheduled
exam time by e-mail. If you have not received an e-mail
concerning your exam time, please contact Martin Welk immediately!
Other registered course participants who have not taken the first exam,
please contact Martin Welk till April 3 if you want to appoint a
second chance exam.
The course is designed as a supplement for image processing lectures,
to be attended before, after or parallel to them.
Participants shall understand
- what are digital images
- how they are acquired
- what they encode and what they mean
- which limitations are introduced by the image acquisition.
This knowledge will be helpful in selecting adequate methods for
processing image data arising from different methods.
Basic mathematics courses are recommended.
Understanding English is necessary.
A broad variety of image acquisition methods is described, including
imaging by virtually all sorts of electromagnetic waves, acoustic
imaging, magnetic resonance imaging and more. While medical imaging
methods play an important role, the overview is not limited to them.
Starting from physical foundations, description of each image
acquisition method extends via aspects of technical realisation to
mathematical modelling and representation of the data.
The written exam took place on
Monday, February 26, 2007, 9–11;
in Lecture Hall 001, Building E13.
Students registered for the course were automatically registered for the
exam, unless signed out by e-mail till February 12, 2007, 9:00h (9 am).
Students who cannot take part in the written exam for substantial reasons,
and those who have failed the written exam, will be offered oral exams, to be
*: available in semester apparatus
The semester apparatus for this lecture is located
in the Computer Science/Applied Mathematics Library, building E13.
B. Jähne, H. Haußecker, P. Geißler, editors,
Handbook of Computer Vision and its Applications.
Volume 1: Sensors and Imaging.
Academic Press, San Diego 1999.
The Physics of Medical Imaging.
Institute of Physics Publishing, Bristol 1988.*
C. L. Epstein,
Introduction to the Mathematics of Medical Imaging.
Pearson, Upper Saddle River 2003.*
Theory of Remote Image Formation.
Cambridge University Press, 2005.*
A. C. Kak, M. Slaney,
Principles of Computerized Tomographic Imaging.
SIAM, Philadelphia 2001.
Articles from journals and conferences.
Further references will be given during the lecture.
Participants of the course can download the lecture materials here
Martin Welk /
August 17, 2006–March 26, 2007