SubjectsSubjects(version: 956)
Course, academic year 2019/2020

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Advanced Image Processing - M445010
Title: Pokročilé zpracování obrazů
Guaranteed by: Department of Computing and Control Engineering (445)
Faculty: Faculty of Chemical Engineering
Actual: from 2019 to 2020
Semester: summer
Points: summer s.:4
E-Credits: summer s.:4
Examination process: summer s.:
Hours per week, examination: summer s.:1/2, C+Ex [HT]
Capacity: unlimited / unlimited (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Additional information:
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Mudrová Martina Ing. Ph.D.
Procházka Aleš prof. Ing. CSc.
Interchangeability : N445060
Examination dates   Schedule   
This subject contains the following additional online materials
Annotation -
Lessons and laboratory works are devoted to basic principles of acquisition, storage and processing of image digital data. There are emphasized methods which can be used in engineering image data processing in addition to general techniques. Lessons represent and operate with terms like 2D Discrete Function, Sampling, Compression, Colour Processing, Image adjustment, Image Analysis in the Image and Frequency Area, Reconstruction, Geometric Transformations, Image Registration, Objects Detection, Segmentation and Classification. Methods of discrete mathematics, statistics, Fourier transform, mathematical morphology and others constitute basic tools of image processing. Practical projects are solved in the Matlab system including its Image Processing Toolbox.
Last update: Pátková Vlasta (20.04.2018)
Aim of the course -

Students will be able to:

• aply selected advanced methods in image segmentation, registration and reconstruction

• assess critically possibilities of image processing methods application

• aply and interpret advanced methods of frequency image analysis

Last update: Pátková Vlasta (20.04.2018)
Literature -

R:Gonzales R.,Woods R.,Digital Image Processing,Prentice Hall,New Jersey,2008,9780135052679

A:Barrett H., Myers K., Foundations of Image Science,Wiley,New Jersey,2004,0471153001

A:Burger W.,Burge M., Digital Image Processing,Springer,Hagengerg,2008,9781846283796

Last update: Pátková Vlasta (20.04.2018)
Learning resources -

Last update: Kohout Jan (20.02.2024)
Requirements to the exam -

Credits are conditioned by activity during lessons and seminars

Level of student assessment depends on

1. Team project,

2. Examination.

Last update: Kohout Jan (13.02.2024)
Syllabus -

1. FT and its application

2. Image Reconstruction

3. Principal Component Analysis

4. Object Detection

5. Advanced Methods in Colour Reduction

6. Independent Component Analysis

7. Noise Reduction

8. 2D Interpolation

9. Image Registration

10. 2D Wavelet Tarnsform

11. Texture Classification

12. Grayscale Mathematical Morphology

13. Image Segmentation

14. Conclusion

Last update: Pátková Vlasta (20.04.2018)
Course completion requirements - Czech

Zápočet z předmětu je podmíněn aktivní účastí na cvičení.

Vypracování a obhajoba projektů: 0 - 60 bodů

Ústní zkouška: 0-40 bodů

Celkové bodové hodnocení: 100-90 A, 89-80 B, 79-70 C, 69-60 D, 59-50 E, méně než 50 F.

Last update: Kohout Jan (13.02.2024)
Teaching methods
Activity Credits Hours
Účast na přednáškách 0.5 14
Práce na individuálním projektu 1.5 42
Příprava na zkoušku a její absolvování 1 28
Účast na seminářích 1 28
4 / 4 112 / 112
Coursework assessment
Form Significance
Regular attendance 20
Report from individual projects 60
Examination test 20