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Image Acquisition Methods

Winter Term 2019

Image Acquisition Methods

Received two Computer Science Teaching Awards
(Summer Term 2014, Winter Term 2018/19)

Lecturer: Dr. Pascal Peter

Winter Term 2019

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

Lectures: Friday 12-14 c.t., Building E1.3, Lecture Hall 001
First lecture: Friday, Oct 18, 2019

Tutorials:
G1: Tuesday 10-12 c.t., Building E1.1, Seminar Room 206
G2: Tuesday 12-14 c.t., Building E1.1, Seminar Room 206
First tutorial: Tuesday, Oct 29, 2019

Announcements – Description – Entrance requirements – Contents
Exams – Lecture notes/Assignments – References

Due to the Sars-Cov2 Pandemic, the second exam has been shifted to October 20th. Please make sure to check the mailing list for updates. If you have questions, contact Pascal Peter.

14/02/2020 You can find your result of the first exam here.
General statistics about this exam can be downloaded here.
Each student who has participated in the first written exam has the opportunity to inspect his/her graded solutions in room 4.10 in Bldg. E1.7 on Wednesday, February 19th, 2020 in the following timeslots, depending on your last (family) name:
A - N : 10:15 am - 10:45 am
O - Z : 10:45 am - 11:15 am

10/02/2020 Please check here if you are admitted to the exam.
05/09/2019 Website is online

Registration for this lecture was open until Friday, October 25th, 4 p.m. You can still check or change your tutorial group slot until October 28th.

Keep in mind that in most courses 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 Thursday, February 13, 2020 from 2:00 to 4:00 pm in Building E2.2, Günter Hotz Lecture Theatre.
The second written exam will take place on October 20, 2020 from 2:00 to 4:00 pm in Building E1.3, Lecture Hall 002
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.

Participants can 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	18/10	[download]	[download]
2	Basic Concepts II	25/10	[download]	[download]

PART II: IMAGING BY VISIBLE LIGHT

No.	Title	Date	Script	Slides
3	Imaging by Visible Light I: Electromagnetic Spectrum	08/11	[download]	[download]
4	Imaging by Visible Light II: Optics, Sensorics, Photography	15/11	[download]	[download]
5	Imaging by Visible Light III: Colour Spaces, Telescopes, Mirrors, Microscopy	22/11	[download]	[download]
6	Imaging by Visible Light IV: Dual Photography, Depth Imaging, Holography, Light Fields update 31.1.20: fixed formula on slide 32	29/11	[download]	[download]

PART III: IMAGING BY INVISIBLE ELECTROMAGNETIC RADIATION

No.	Title	Date	Script	Slides
7	X-Ray and Gamma-Ray Imaging in 2-D	06/12	[download]	[download]
8	Computerised X-Ray Tomography I: Transmission Tomography, Reconstruction, Scanners	13/12	[download]	[download]
9	Computerised X-Ray Tomography II: Visualisation, Artefacts, Noise, Emission Tomography	20/12	[download]	[download]
10	Radioastronomy, Radar, Terahertz Radiation, Microwave and Radio Wave Imaging	10/01	[download]	[download]
11	Magnetic Resonance Imaging I	17/01	[download]	[download]
12	Magnetic Resonance Imaging II	24/01	[download]	[download]

PART IV: IMAGING WITHOUT ELECTROMAGNETIC RADIATION

No.	Title	Date	Script	Slides
13	Electron Microscopy	31/01	[download]	[download]
14	Acoustic Waves, Sonar, Ultrasound	07/02	[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	29/10	Solution 1
2	Tutorial 2: Polarisation, Rotor and Maxwell's Equations	12/11	Solution 2
3	Tutorial 3: Real vs. Virtual Images, Snell's Law and Dispersion	19/11	Solution 3
4	Tutorial 4: Mirror Optics, Fresnel Equations, Brewster's Angle, Total Reflection	26/11	Solution 4
5	Tutorial 5: Colour Distances, Illumination Changes, Triangulation	03/12	Solution 5
6	Tutorial 6: Beer's Law, Contrast, Detector Noise	10/12	Solution 6
7	Tutorial 7: Time of Flight, Effective Half-Life	17/12	Solution 7
8	Tutorial 8: Computed Tomography and Radon Transform	07/01	Solution 8
9	Tutorial 9: Gaussian and Poisson Noise	14/01	Solution 9
10	Tutorial 10: CT Scans and Sampling, Tensor Visualisation (Optional Hint Sheet)	21/01	Solution 10
12	Tutorial 11: Test Exam.	28/01	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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