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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2021/2022

Digital image

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Code Completion Credits Range Language
B4M33DZO Z,ZK 6 2P+2C Czech
Corequisite:
The course cannot be taken simultaneously with:
Digital image (AE4M33DZO)
Digital image (A4M33DZO)
Digital Image (BE4M33DZO)
The course is a substitute for:
Digital image (A4M33DZO)
Lecturer:
Václav Hlaváč (guarantor), Torsten Sattler, Radoslav Škoviera
Tutor:
Václav Hlaváč (guarantor), Vojtěch Pánek, Maxime Pietrantoni, Jiří Sedlář, Radoslav Škoviera
Supervisor:
Department of Cybernetics
Synopsis:

This course presents an overview of basic methods for digital image processing. It deals with practical techniques that have an interesting theoretical basis but are not difficult to implement. Seemingly abstract concepts from mathematical analysis, probability theory, or optimization come to life through visually engaging applications. The course focuses on fundamental principles (signal sampling and reconstruction, monadic operations, histogram, Fourier transform, convolution, linear and non-linear filtering) and more advanced editing techniques, including image stitching, deformation, registration, and segmentation. Students will practice the selected topics through six implementation tasks, which will help them learn the theoretical knowledge from the lectures and use it to solve practical problems

Requirements:

It is expected that the student is familiar with calculus, linear algebra, probability and statistics to the depth taught at FEL CVUT.

Syllabus of lectures:

1. Monadic Operations

2. Fourier Transform

3. Convolution

4. Linear Filtering

5. Non-linear Filtering

6. Image Editing

7. Image Deformation 1

8. Image Deformation 2

9. Image Registration 1

10. Image Registration 2

11. Image Registration 3

12. Image Segmentation 1

13. Image Segmentation 2

14. Reserved

Syllabus of tutorials:

1. Introduction to Matlab

2. Monadic Operations 1

3. Monadic Operations 2

4. Fourier Transform 1

5. Fourier Transform 2

6. Linear and Non-linear Filtering 1

7. Linear and Non-linear Filtering 2

8. Image Editing 1

9. Image Editing 2

10. Image Registration 1

11. Image Registration 2

12. Image Segmentation 1

13. Image Segmentation 2

14. Credits

Study Objective:
Study materials:

1. Gonzalez R. C., Woods R. E.: Digital Image Processing (3rd Edition), Prentice Hall, 2008.

2. Goshtasby A. A.: Image Registration: Principles, Tools and Methods, Springer, 2012.

3. He J., Kim C.-S., Kuo C.-C. J.: Interactive Segmentation Techniques: Algorithms and Performance Evaluation, Springer, 2014.

4. Paris S., Kornprobst P., Tumblin J., Durand F.: Bilateral Filtering: Theory and Applications, Now Publishers, 2009.

5. Pratt W.: Digital Image Processing (3rd Edition), John Wiley, 2004.

6. Radke R. J.: Computer Vision for Visual Effects, Cambridge University Press, 2012.

7. Svoboda, T., Kybic, J., Hlaváč, V.: Image Processing, Analysis and Machine Vision. The MATLAB companion, Thomson Learning, Toronto, Canada, 2007.

8. Šonka M., Hlaváč V., Boyle R.: Image Processing, Analysis and Machine vision (3rd Edition), Thomson Learning, 2007.

Note:
Further information:
https://cw.fel.cvut.cz/wiki/courses/B4M33DZO
Time-table for winter semester 2021/2022:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
roomKN:E-132
Pietrantoni M.
Sedlář J.

18:00–19:30
(lecture parallel1
parallel nr.103)

Karlovo nám.
Laboratoř PC
Tue
roomKN:E-230
Pánek V.
Pietrantoni M.

14:30–16:00
(lecture parallel1
parallel nr.101)

Karlovo nám.
Laboratoř PC
roomKN:E-132
Škoviera R.
Sedlář J.

16:15–17:45
(lecture parallel1
parallel nr.102)

Karlovo nám.
Laboratoř PC
Wed
roomKN:E-301
Hlaváč V.
Škoviera R.

09:15–10:45
(lecture parallel1)
Karlovo nám.
Šrámkova posluchárna K9
Thu
Fri
Time-table for summer semester 2021/2022:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2022-08-14
For updated information see http://bilakniha.cvut.cz/en/predmet4684106.html