460-4129 – Image Processing in Automobiles (ZODA)
| Gurantor department | Department of Computer Science |
| Subject guarantor | doc. Dr. Ing. Eduard Sojka |
| Study level | undergraduate or graduate |
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
Lectures
Tutorials
Summary
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
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.