460-4129 – Image Processing in Automobiles (ZODA)

Gurantor departmentDepartment of Computer Science
Subject guarantordoc. Dr. Ing. Eduard Sojka
Study levelundergraduate or graduate
Subject version
Version codeYear of introductionYear of cancellationCredits
460-4129/01 2019/2020 4
460-4129/02 2019/2020 4

Subject aims expressed by acquired skills and competences

The course acquaints the students with the methods of digital image processing and image analysis. These methods are applied in the algorithms for autonomous driving. After passing the course, the student will understand the principles of the operations with the images and will be able to implement them.

Teaching methods



The following topics are covered: point and geometric operations, convolution, edge detection, feature extraction, classification methods, image segmentation, scene reconstruction, depth data analysis. The course includes the computer labs in which the computer programs are realized corresponding to the mentioned topics.

Compulsory literature:

1. Gonzalez, R., C., Woods, R., E.: Digital Image Processing, Prentice Hall, ISBN-10: 013168728X, ISBN-13: 978-0131687288, 2007 2. Burger, W., Burge, M., J.: Principles of Digital Image Processing: Fundamental Techniques, Springer, ISBN-10: 1848001908, ISBN-13: 978-1848001909, 2011

Recommended literature:

1. Petrou, M., Petrou, C.: Image Processing: The Fundamentals, Wiley, ISBN-10: 047074586X, ISBN-13: 978-0470745861, 2010 2. Brahmbhatt, S.: Practical OpenCV (Technology in Action), Apress, ISBN-10: 1430260793, ISBN-13: 978-1430260790, 2013


Subject has no prerequisities.


Subject has no co-requisities.