Subjects

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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
Level:
Additional information:	http://uprt.vscht.cz/mudrova/zob2
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

E-learning course

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)

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)

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)

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)

Learning resources -

https://e-learning.vscht.cz/course/view.php?id=2983

Last update: Kohout Jan (20.02.2024)

Learning outcomes -

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)

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