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Image Analysis I

Image Analysis I
460-4080/01
čeština Image Analysis I
460-4080/02
angličtina

Summary

The following topics are discussed: Image segmentation, detecting edges, regions, and feature points. Measuring objects for recognition based on features. Classification using discriminant functions, classification based on clustering, classification using neural networks. Using deep neural networks for image analysis. Reconstructing 3D scenes. Analysing 3D point clouds. Processing images varying in time. Object tracking. Recognising actions from video frames. The course includes the computer labs in which the computer programs are realised corresponding to the mentioned topics.

Literature

Mandatory:
Gonzalez, R., C., Woods, R., E.: Digital Image Processing, 4th Edition, Pearson, ISBN-13: 9780134734804 , 9780133356724, 2018.
Aggarwal, CC: Neural Networks and Deep Learning, Springer, ISBN: 978-3-319-94463-0 , 978-3-319-94462-3, 2018.

Advised literature

1. Burger, W., Burge, M., J.: Principles of Digital Image Processing: Fundamental Techniques, Springer, ISBN-10: 1848001908 , ISBN-13: 978-1848001909 , 2011
2. Brahmbhatt, S.: Practical OpenCV (Technology in Action), Apress, ISBN-10: 1430260793 , ISBN-13: 978-1430260790 , 2013
3. Petrou, M., Petrou, C.: Image Processing: The Fundamentals, Wiley, ISBN-10: 047074586X , ISBN-13: 978-0470745861 , 2010


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Language of instruction čeština, angličtina
Code 460-4080
Abbreviation ANO I
Course title Image Analysis I
Coordinating department Department of Computer Science
Course coordinator doc. Dr. Ing. Eduard Sojka