Course detail

Image Analysis in Material Science

FSI-WONAcad. year: 2023/2024

The aim of the course is to provide students with fundamental information about image
processing for technical purposes. The course deals with colour spaces and methods of
computer image modelling, brightness and kontrast modification, linear and non-linear image filters and its application, objects recognition and analysis.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Pavel Štarha, Ph.D.

Department

Institute of Mathematics (ÚM)

Entry knowledge

Course of Mathematics I, Mathematics II

Rules for evaluation and completion of the course

Submitted a semester work, written and oral exam
Missed lessons can be compensated for via make-up topics of exercises.

Aims

The aim of the course is to provide students with information about current computer image processing methods for technical purposes.

Basic knowledge of present image processing and its use in practice.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Druckmüller, M., Heriban, P.: Digital Image Processing System for Windows, ver. 5.0., SOFO Brno, 1996
Hlaváč, V., Šonka, M.: Počítačové vidění, Grada, 1993
Martišek, D.: Počítačová geometrie a grafika, Brno 2017. (CS)

Recommended reading

Pratt, W. K. Digital Image Processing (Third Edition) PIKS Inside [online]. 3rd ed. New York: Wiley-Interscience, 2001 [cit. 2014-08-07]. ISBN 04-712-2132-5. (EN)

eLearning

eLearning: currently opened course

Classification of course in study plans

  • Programme B-ZSI-P Bachelor's

    specialization MTI , 1. year of study, winter semester, compulsory

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

Ing. Petra Kalenská
Ing. Pavel Mikuláček
doc. Ing. Pavel Štarha, Ph.D.

Syllabus

1. Vector and raster graphic data, image representation, basic graphics formats.
2. Colour spaces, colour saturation, brightness and kontrast modification.
3. Basic operation with images
4. Histogram and its use
5. Histogram equalization
6. Fourier transformation and principles of its use.
7. Convolution, linear filters of low-pass and high-pass type
8. Basic non-linear filters and their ise
9. Adaptive filters
10. Additive noise - analysis and filtration
11. Impulse noise - analysis and filtration
12. Image segmentation, basic methods of recognition of objects and their border lines
13. Moment metod of object analysis

Exercise

14 hours, compulsory

Teacher / Lecturer

doc. Ing. Pavel Štarha, Ph.D.

Syllabus

1. Colour saturation, brightness and contrast modification.
2. Addition, subtraction and linear combination of images
3. Basic operation with image histogram
4. Histogram equalization
5. Image segmentation, of recognition of objects and their ¨border lines
6. Object area, its center of gravity and others geometrical moments

Presence in the seminar is obligatory.

Computer-assisted exercise

12 hours, compulsory

Teacher / Lecturer

Ing. Petra Kalenská
Ing. Pavel Mikuláček
doc. Ing. Pavel Štarha, Ph.D.

Syllabus

1. Using of educational software (basic principles).
2. Work with different graphics formats.
3. Use of adaptive filters
4. Work with filters of low-pass and high-pass type
5. Work with non-linear filters
6. Work with additive noise
7. Work with impulse noise

Presence in the seminar is obligatory.

eLearning

eLearning: currently opened course