450-4021/02 – Image Processing in the Area of Measurement and Control (ZOMŘT)
| Gurantor department | Department of Cybernetics and Biomedical Engineering | Credits | 5 |
| Subject guarantor | Ing. Zdeněk Macháček, Ph.D. | Subject version guarantor | Ing. Zdeněk Macháček, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Optional |
| Year | 2 | Semester | summer |
| | Study language | English |
| Year of introduction | 2015/2016 | Year of cancellation | 2021/2022 |
| Intended for the faculties | FEI | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The main goal of the subject is to acquiant the students with the foundations of digital image processing and analysis. Student will be able to use methods for image processing based on SW Matlab/Simulink.
Teaching methods
Lectures
Tutorials
Project work
Summary
The subject is focused on methods for image processing in area of measurement and control. Lectures are focused on theoretical fundamental from area of digital image processing like image digitizing, segmentation, edge detection, image transformation, image filtering etc. Exercising are mainly focused on problematics image processing using SW Matlab and Image Processing Toolbox and Video and Image Processing Blockset. The main task for students is semestral work from image processing problematics.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Verification of study:
Exercise credits - student is classifying on base series of tasks 0-30 points. Condition for receiving is min. 15 points, maximum of receiving points is 30.
Examination: Practical part - individual project 0-30 points. Writing part - closing test 0-30 points. Oral part 0-10 points. Student have to succeed in all parts of examination.
Conditions for credit:
The tasks that form the content of the exercises must be carried out. The maximum number of points is 30. Minimum is 15 points.
E-learning
Other requirements
Another demands for student are not.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
1. Introduction to the problematics of image processing. Using Matlab for image processing.
2.Properties of digital image.
3. Transformations of brightness, Histogram.
4. Image transforms. The Fourier transform, discrete Fourier transform, Properties of Fourier transform and its application in digital image processing.
5.Image filtering in frequency domain.
6. Geometrical transformations of images.
7. Sampling and reconstructing of images.
8. Morphological transformations of images.
9. Image segmentation.
10. Image recognition.
11. Color image processing.
12. JPEG and MPEG compression.
13. Final test.
Computer labs:
During the exercises, the students work out a series of practical tasks (convolution, Fourier transform, compression, transformations of brightness, geometrical transformations, measuring objects, and classification). The tasks are prepared in the form of templates (pre-prepared programs) into which the sudents fill their own source code. In this way, they can focus on substantial and interesting issues.
Project:
Student processes the project on "Image analysis using classical methods of image processing.".
Time demands of the project is 10 hours.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.