Signal and Image Processing

Předmět je náhradou za:

Signal and Image Processing (E383ZS)
Zpracování signálů a obrazů (X383ZS)

Přednášející:

Cvičící:

Předmět zajišťuje:

katedra měření

Anotace:

The course consists of two parts, which guarantee Department of Measurement

and Department of Cybernetics. Students will gain basic knowledge of digital

signal processing in the first part (sampling and reconstruction of signals,

DFT and FFT, digital filters and processing of stochastic signals). The

second part is devoted to images as a practically important example of 2D

signals. Image formation and linear and nonlinear methods of image

pre-processing and compression are explained. Emphasis is laid on practical

applications.

Požadavky:

Osnova přednášek:

1. Sampling theorem and signal reconstruction.

2. Fourier transform of discrete signals.

3. Fast Fourier transform and spectrum analysis.

4. Digital filters - types, properties.

5. Digital filter design.

6. Stochastic signals - amplitude distribution and correlation functions.

7. Stochastic signals - power spectral density.

8. Introduction to images. Digital image and its properties.

9. Formation of an image, geometrical and radiometrical view.

10. Geometrical, brightness and linear integral transformations.

11. Filtration of noise.

12. Edge detections.

13. Mathematical morphology.

14. Image compression.

Osnova cvičení:

1. Discrete Fourier Transform (computer laboratory, MATLAB).

2. Digital filters (computer laboratory, MATLAB).

3. Correlation filtration (computer laboratory, MATLAB).

4. Sampling theorem and aliasing (laboratory).

5. Measurement of the power spectral density of noise (laboratory).

6. Suppression of periodic disturbance using digital filters (laboratory).

7. Using cross - correlation function for measurement of velocity (model of a

conveyor-belt).

8. Task 1 - formation of image, radiometry, geometrical transformations.

9. Task 1 - completion.

10. Task 2 - noise filtration and edge detection.

11. Task 2 - completion.

12. Task 3 - mathematical morphology.

13. Task 3 - completion.

14. Task 4 - image compression.

Cíle studia:

Studijní materiály:

1. V.d.Enden, A., Verhoeckx, A.M.: Discrete-time Signal Processing. Prentice

Hall, 1989

2. Bendat, J.S., Piersol, A.G.: Engineering Applications of Correlation and

Spectral Analysis. J. Wiley, 1980

3. Gonzales, R.C., Woods, R.E.: Digital Image Processing. Addison - Wesley, 1992

4. Šonka, M., Hlaváč, V., Boyle, R.D.: Image processing, analysis and machine vision. PWS, Boston 1999

Poznámka:

Výuka v angličtině. Bc.KM, 6.sem.

http://measure.feld.cvut.cz/en/education/courses/XE383ZS

Další informace:

Pro tento předmět se rozvrh nepřipravuje

Předmět je součástí následujících studijních plánů:

• Cybernetics and Measurements- structured studies (povinný předmět)