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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024

Digital Image

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Code Completion Credits Range Language
BE4M33DZO Z,ZK 6 2P+2C English
Vztahy:
In order to register for the course BE4M33DZO, the student must have registered for the required number of courses in the group BEZBM no later than in the same semester.
It is not possible to register for the course BE4M33DZO if the student is concurrently registered for or has already completed the course AE4M33DZO (mutually exclusive courses).
It is not possible to register for the course BE4M33DZO if the student is concurrently registered for or has already completed the course A4M33DZO (mutually exclusive courses).
It is not possible to register for the course BE4M33DZO if the student is concurrently registered for or has already completed the course B4M33DZO (mutually exclusive courses).
During a review of study plans, the course B4M33DZO can be substituted for the course BE4M33DZO.
During a review of study plans, the course AE4M33DZO can be substituted for the course BE4M33DZO.
During a review of study plans, the course A4M33DZO can be substituted for the course BE4M33DZO.
It is not possible to register for the course BE4M33DZO if the student is concurrently registered for or has already completed the course B4M39AIM (mutually exclusive courses).
It is not possible to register for the course BE4M33DZO if the student is concurrently registered for or has previously completed the course B4M39AIM (mutually exclusive courses).
It is not possible to register for the course BE4M33DZO if the student is concurrently registered for or has previously completed the course AE4M33DZO (mutually exclusive courses).
It is not possible to register for the course BE4M33DZO if the student is concurrently registered for or has previously completed the course A4M33DZO (mutually exclusive courses).
It is not possible to register for the course BE4M33DZO if the student is concurrently registered for or has previously completed the course B4M33DZO (mutually exclusive courses).
Garant předmětu:
Daniel Sýkora
Lecturer:
Daniel Sýkora
Tutor:
Jan Čech, Vojtěch Pánek, Daniel Sýkora, 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/BE4M33DZO
Time-table for winter semester 2023/2024:
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
Tue
roomKN:E-132
Sýkora D.
Čech J.

18:00–19:30
(lecture parallel1
parallel nr.101)

Karlovo nám.
Laboratoř PC
Wed
roomKN:E-301
Sýkora D.
09:15–10:45
(lecture parallel1)
Karlovo nám.
Šrámkova posluchárna K9
Thu
Fri
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-07-21
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet4684806.html