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Image Acquisition Methods

Summer Term 2016

Image Acquisition Methods

Received a Computer Science Teaching Award (Summer Term 2014)


Lecturer: Dr. Pascal Peter

Examiner: Prof. Dr. Joachim Weickert

Summer Term 2016

Lecture (2h) with exercises (2h)
6 credit points

Lectures: Thursday 16-18 c.t., Building E1.3, Lecture Hall 001
First lecture: Thursday, April 21, 2016, 16-18 c.t.

Tutor: Seyedmajid Azimi

Tutorials:
G1: Monday 10-12 c.t., Building E1.3, Seminar Room 016
G2: Monday 12-14 c.t., Building E1.3, Seminar Room 016
Office Hour: Monday 9-10 s.t., Building E1.4 (MPI), Room 624
First tutorial: Monday, May 2, 2016



AnnouncementsDescriptionEntrance requirementsContents
ExamsLecture notes/AssignmentsReferences



14/10/2016 You can find your result of the second exam here.
General statistics about this exam can be downloaded here.

Each student who has participated in the second written exam has the opportunity to inspect his/her graded solutions in room 4.10 in Bldg. E1.7 on Tuesday, October 18th, 2016 in the following timeslots, depending on your last (family) name:
A - G : 10:15 am - 10:45 am
H - Z : 10:45 am - 11:15 am

08/07/2016 You can find your result of the first exam here.
General statistics about this exam can be downloaded here.

13/07/2016 Selftest solution and admission list are online.
06/07/2016 Selftest is online. Solution will be published before the last tutorial.
18/05/2016 Lecture 6 has been moved to 25/05, 16-18, Lecture Hall 002, due to a public holiday.
10/05/2016 There is no tutorial on Monday, 16/05.
02/05/2016 Registration is now closed.
21/04/2016 Registration is now open.
21/04/2016 Changed room for the office hour.
09/04/2016 Corrected time slot of first lecture.
24/02/2016 Website is online

Registration for this lecture was open until Monday, May 2nd, 4 p.m. You can still check your tutorial group. Keep in mind that depending on your course of studies, you also have to register via the HISPOS system of the Saarland University


The course is designed as a supplement for image processing lectures, to be attended before, after or parallel to them. In order to choose the right image processing methods for a given image, it is important to know what the image data represents and what specific properties it possesses.

Therefore, in this lecture, participants learn:

  • what digital images are,
  • how they are acquired,
  • what they encode and what they mean,
  • which limitations are introduced by image acquisition.

A broad selection of different acquisition methods is featured in this lecture and should enable participants to deal with image data from many different fields.


Basic mathematics courses are recommended.
Basic knowledge in physics is helpful, but the lecture is designed to be self-sufficient in this regard.
The lecture will be given in English.


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 first written exam will take place on Wednesday, August 3, 2016 from 2:00 to 4:00 pm in Building E2.2, Günter Hotz Lecture Theatre.
The second written exam will take place on Thursday, October 13, 2016 from 1:00 to 3:00 pm in Building E2.2, Günter Hotz Lecture Theatre.
These are closed book exams. You can participate in both exams, and the better grades counts. Please note that the actual exam takes 90 minutes, the rest of the time is used to avoid interference with other exams.

Please remember that you have to register online for the exam in the HISPOS system of the Saarland University.

If you cannot attend the exam, contact Pascal Peter as early as possible. In case you have proof that you cannot take part for medical reasons or you have another exam on the same day, we can offer you an oral exam as a replacement. Note that we need written proof (e.g. a certificate from a physician/Krankenschein) for the exact date of the exam.

Please check here whether you are admitted to the written exam. If you think that there is an error, please contact Pascal Peter immediately.

These are the rules during the exams:

  • No lecture materials are admitted during the exam.
  • Pocket calculators are not allowed.
  • Mobile phones, PDAs, laptops, smart watches, and other electronic devices have to be turned off.
  • Please keep your student ID card ready for an attendance check during the exam.
  • Do not write solutions with pencils or friction pens.
  • You are not allowed to take the exam sheets with you.
  • You must stay until the exam is completely over.

Lecture notes / Assignments

Participants will be able to download course materials (lecture notes, assignments) here. For all assignments, example solutions will be provided. Additional organisational information, examples and explanations that may be relevant for your understanding and the exam are provided in the lectures and tutorials. It is solely your responsibility - not ours - to make sure that you receive this infomation.
The table below contains the planned topics for the lecture. The slides are available in two versions: the "script" version is printer friendly while the "slide" version retains the functionality to enlarge images and use slide navigation.

PART I: FOUNDATIONS

No. Title Date Script Slides
1 Introduction and Basic Concepts I 21/04 [download] [download]
2 Basic Concepts II 28/04 [download] [download]


PART II: IMAGING BY VISIBLE LIGHT

No. Title Date Script Slides
3 Imaging by Visible Light I: Electromagnetic Spectrum
Rescheduled due to Holiday, E1.3 Lecture Hall 002, 16-18
04/05 [download] [download]
4 Imaging by Visible Light II: Optics, Sensorics, Photography 12/05 [download] [download]
5 Imaging by Visible Light III: Colour Spaces, Telescopes, Mirrors, Microscopy 19/05 [download] [download]
6 Imaging by Visible Light IV: Dual Photography, Triangulation, Holography
Rescheduled due to Holiday, E1.3, Lecture Hall 002, 16-18
25/05 [download] [download]


PART III: IMAGING BY INVISIBLE ELECTROMAGNETIC RADIATION

No. Title Date Script Slides
7 X-Ray and Gamma-Ray Imaging in 2-D 02/06 [download] [download]
8 Radioastronomy, Radar, Terahertz Radiation, Microwave and Radio Wave Imaging 09/06 [download] [download]
9 Computerised X-Ray Tomography I: Transmission Tomography, Reconstruction, Scanners 16/06 [download] [download]
10 Computerised X-Ray Tomography II: Visualisation, Artefacts, Noise, Emission Tomography 23/06 [download] [download]
11 Magnetic Resonance Imaging I 30/06 [download] [download]
12 Magnetic Resonance Imaging II
07/07 [download] [download]


PART IV: IMAGING WITHOUT ELECTROMAGNETIC RADIATION

No. Title Date Script Slides
13 Electron Microscopy 14/07 [download] [download]
14 Acoustic Waves, Sonar, Ultrasound 21/07 [download] [download]


Assignments are published in the week before the tutorial takes place. It is not necessary to hand in the exercises and they will not be graded. All exercises are intended to be solved and discussed during the tutorial session. For formal exercises a written solution is also offered online.

No. Assignments Date Solutions
1 Tutorial 1: Quantisation and Sampling 02/05 Solution 1
2 Tutorial 2: Polarisation, Rotor
and Maxwell's Equations
09/05 Solution 2
3 Tutorial 3: Real vs. Virtual Images,
Snell's Law and Dispersion
23/05 Solution 3
4 Tutorial 4: Mirror Optics, Fresnel Equations, Brewster's Angle, Total Reflection 30/05 Solution 4
5 Tutorial 5: Colour Distances, Illumination Changes, Triangulation 06/06 Solution 5
6 Tutorial 6: Beer's Law, Contrast, Detector Noise
(Optional Hint Sheet)
13/06 Solution 6
7 Tutorial 7: Time of Flight, Effective Half-Life
(Optional Hint Sheet)
20/06 Solution 7
8 Tutorial 8: Computer Tomography and Radon Transform
(Optional Hint Sheet)
27/06 Solution 8
9 Tutorial 9: Gaussian and Poisson Noise
(Optional Hint Sheet)
04/07 Solution 9
10 Tutorial 10: CT Scans and Sampling, Tensor Visualisation
(Optional Hint Sheet)
11/07 Solution 10
12 Tutorial 11: Test Exam. 18/07 Solution

  • B. Jähne, H. Haußecker, P. Geißler, editors, Handbook of Computer Vision and its Applications. Volume 1: Sensors and Imaging. Academic Press, San Diego 1999.
  • S. Webb, 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.
  • R. Blahut, 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.



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