19E033SOS - Image Processing Systems

Course specification
Course title Image Processing Systems
Acronym 19E033SOS
Study programme Electrical Engineering and Computing
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
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.
URL to the subject page
URL to lectures
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.
  1. Rafael Gonzales, Richard Woods, Digital Image Processing, 3rd Ed., Prentice Hall, 2008.
  2. Rafael Gonzales, Richard Woods, Steven Eddins, Digital Image Processing using Matlab, Gatesmark Publishing, 2009.
  3. Wilhelm Burger, Mark J. Burge, Digital image processing: an introduction using Java, Springer, 2016.
  4. Richard Szeliski, Computer vision: algorithms and applications, Springer Science & Business Media, 2010.
  5. 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