Digital image
| Code | Completion | Credits | Range | Language |
|---|---|---|---|---|
| B4M33DZO | Z,ZK | 6 | 2P+2C | Czech |
- Garant předmětu:
- Daniel Sýkora
- Lecturer:
- Daniel Sýkora
- Tutor:
- Jan Čech, Ondřej Drbohlav, 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/B4M33DZO
- 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 Wed Thu Fri - Time-table for summer 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 Wed Thu Fri - The course is a part of the following study plans:
-
- Medical electronics and bioinformatics (compulsory course in the program)
- Open Informatics - Computer Vision and Image Processing (compulsory course of the specialization)
- Open Informatics - Bioinformatics (compulsory course of the specialization)
- Electronics and Communications (compulsory elective course)