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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2024/2025

Digital image

The course is not on the list Without time-table
Code Completion Credits Range Language
B4M33DZO Z,ZK 6 2P+2C Czech

It is not possible to register for the course B4M33DZO if the student is concurrently registered for or has already completed the course BE4M33DZO (mutually exclusive courses).

It is not possible to register for the course B4M33DZO 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 B4M33DZO if the student is concurrently registered for or has already completed the course A4M33DZO (mutually exclusive courses).

During a review of study plans, the course A4M33DZO can be substituted for the course B4M33DZO.

In order to register for the course B4M33DZO, 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 B4M33DZO 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 B4M33DZO if the student is concurrently registered for or has previously completed the course NI-DZO.23 (mutually exclusive courses).

It is not possible to register for the course B4M33DZO 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 B4M33DZO 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 B4M33DZO if the student is concurrently registered for or has previously completed the course BE4M33DZO (mutually exclusive courses).

The requirement for course B4M33DZO can be fulfilled by substitution with the course BE4M33DZO.

It is not possible to register for the course B4M33DZO if the student is concurrently registered for or has previously completed the course B4M39AIM (mutually exclusive courses).

Garant předmětu:
Lecturer:
Tutor:
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
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-03-28
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet4684106.html