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Image Processing in Automobiles

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.

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

Advised 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


Language of instruction čeština, angličtina
Code 460-4129
Abbreviation ZODA
Course title Image Processing in Automobiles
Coordinating department Department of Computer Science
Course coordinator doc. Dr. Ing. Eduard Sojka