19E033SOS - Image Processing Systems

Course specification
Course title		Image Processing Systems
Acronym		19E033SOS
Study programme		Electrical Engineering and Computing
Module
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Ana Gavrovska
Lecturer/Associate (for practice)		professor PhD Ana Gavrovska
Lecturer/Associate (for OTC)		professor PhD Ana Gavrovska
ESPB		6.0	Status	elective
Condition		None
The goal		Introducing students to basic system components and concepts of digital image/picture processing.
The outcome		Empowering of the students to use known methods for digital image processing and to create and develop new algorithms, as well as computer codes for the processing.
Contents
URL to the subject page		http://telit.etf.rs/kurs/sistemi-za-obradu-slike/
URL to lectures		https://teams.microsoft.com/l/team/19%3aeQlcBO90W6KNaE0BARyKn9IStQWWdcZwxhrwKmR8tcs1%40thread.tacv2/conversations?groupId=60374604-dc3b-4278-8cad-f58d0b644566&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures		Concepts of digital two-dimensional signal processing. Sensors and image/picture acquisition. Basic processing in space domain and transform domain. Color image processing. Morphological operations. Segmentation, feature extraction and object classification. Image compression principles. Picture archiving, transfer and presentation. Quality estimation. Application of digital image processing.
Contents of exercises		Auditory exercises following the lectures. Exercises in a computer lab where the processing is performed using libraries and tools for image processing and computer vision.
Literature
Rafael Gonzales, Richard Woods, Digital Image Processing, 3rd Ed., Prentice Hall, 2008. Rafael Gonzales, Richard Woods, Steven Eddins, Digital Image Processing using Matlab, Gatesmark Publishing, 2009. Wilhelm Burger, Mark J. Burge, Digital image processing: an introduction using Java, Springer, 2016. Richard Szeliski, Computer vision: algorithms and applications, Springer Science & Business Media, 2010. Ravishankar Chityala and Sridevi Pudipeddi, Image processing and acquisition using Python, CRC Press, 2014.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		Lectures, exercises and student assignments.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	40
Practical lessons		20	Oral examination	0
Projects		40
Colloquia		0
Seminars		0