Image Processing I - N445022A
Title: Zpracování obrazů I
Guaranteed by: Department of Computing and Control Engineering (445)
Faculty: Faculty of Chemical Engineering
Actual: from 2020
Semester: summer
Points: summer s.:5
E-Credits: summer s.:5
Examination process: summer s.:
Hours per week, examination: summer s.:2/2, C+Ex [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: cancelled
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Is provided by: M445010
Additional information:
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Mudrová Martina Ing. Ph.D.
Is interchangeable with: B445008
Examination dates   Schedule   
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. More information is available at
Last update: Mudrová Martina (14.11.2012)
Aim of the course -

Students will be able to:

save image data correctly and use colour models properly with regards to the following image data processing

handle basic tasks in image analysis

aply basic segmentation methods

use methods of frequency analysis for noise rejection and image reconstruction

assess possibilities of image processing with a goal of desired information extraction

Last update: TAJ445 (14.12.2013)
Literature -

R: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

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

Last update: TAJ445 (30.09.2013)
Learning resources -

Last update: Mudrová Martina (13.08.2013)
Requirements to the exam -

The subject is closed by examination and credits.

It is necessary to actively take part in lessons and seminars

Level of student assesment depends on oral presentation and two inidividual projects solved during term.

Last update: Mudrová Martina (13.08.2013)
Syllabus -

1. Basic principles of raster image representation

2. Colour models, palettes, colour reduction, dithering, halftonnig

3. Histogram and its processing, contrast, brightness, gamma correction

4. Alpha blending, binary images use

5. Most important graphic formats - survey, methods of image compression

6. Geometric image transformations, interpolation in image

7. Image registration, warping, morphing

8. Methods of image acquisition and connected problems

9. Functional image transformations and their use

10. Methods of image filtering, noise rejection

11. Edge detection and its applications

12. Methods o f image sharpening

13. Mathematical morphology

14. Discussion about individual projects

Last update: SMIDOVAL (24.03.2011)
Registration requirements -

Computer Science

Last update: Mudrová Martina (13.08.2013)
Teaching methods
Activity Credits Hours
Konzultace s vyučujícími 0.2 5
Účast na přednáškách 1 28
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi 0.5 14
Práce na individuálním projektu 1 28
Příprava na zkoušku a její absolvování 1.3 35
Účast na seminářích 1 28
5 / 5 138 / 140
Coursework assessment
Form Significance
Regular attendance 20
Report from individual projects 40
Oral examination 40