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Faculty of Technical Sciences

Subject: Algorithms of Image Processing in Control Systems (17.AU49)

Native organizations units: Sub-department for Automatic Control and Systems Engineering

General information:
 
Category Theoretical-methodological
Scientific or art field Automatic Control and System Engineering
ECTS 6

Students acquire the basic knowledge about digital image, its forming, processing and analysis.

The acquired knowledge is used in the future education and professional courses.

Fundamentals of digital image. 2D signals and systems. Properties of light and human visual system. Digital image formation. Image transformations. Methods for improving image quality. Spatial domain techniques for image processing. Frequency spectrum of an image. Image analysis and processing in frequency domain. Edge detection. Image segmentation. Binary image processing. Basic characteristics of medical image. Ultrasound recording A-mod, B-mod, TM-mod, C-mod, Doppler. Roentgen recording. Computer tomography. Nuclear magnetic resonance. Gamma camera, PET, SPECT. Medical image processing.

Lectures, computer practice, project tasks. Consultations.

Authors Title Year Publisher Language
Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee Face Detection and Recognition 2016 CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 English
Gerard Blanchet and Maurice Charbit Digital Signal and Image Processing using MATLAB 2006 English
K. Kirk Shung, M.B. Smith, B. Tsui Principles of medical imaging 1992 Academic Press English
Sonka, M., Fitzpatrick, J.M., (ed.) Handbook of medical imaging. Volume 2, Medical image processing and analysis : [Part 1, 2] 2000 SPIE Press, Bellingham, Wash. English
Gonzalez, R.C., Woods, R.E. Digital Image Processing (3rd Edition) 2008 Prentice-Hall, Inc., Upper Saddle River English
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 30.00
Test Yes Yes 10.00
Presentation Yes Yes 10.00
Project Yes Yes 40.00
Test Yes Yes 10.00

Prof. Vojin Ilić

Full Professor

Lectures

API Image

Assoc. Prof. Luka Mejić

Associate Professor

Computational classes

Assistant - Master Olivera Tomašević

Assistant - Master

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.