Course detail
Image Analysis in Material Science
FSI-WON Acad. year: 2023/2024 Winter semester
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
Supervisor
Department
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.
The study programmes with the given course
Programme B-ZSI-P: Fundamentals of Mechanical Engineering, Bachelor's
specialization MTI: Materials Engineering, compulsory
Type of course unit
Lecture
39 hours, optionally
Teacher / Lecturer
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
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
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.