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Image Analysis

Image Analysis
460-6013/01
čeština Image Analysis
460-6013/02
angličtina

Anotace

The course focuses on the following topics: Image segmentation methods: detecting the areas, detecting the edges, Canny edge detector, edge linking, Hough transform, corner detectors. Variational methods in image segmentation, level-set methods, mean-shift methods, watershed methods. Object features for recognition. Classification, discriminative functions, neural networks, adaptive boosting, support vector machines. Deep/convolutional neural networks. 3D reconstruction, determining the correspondences between images. Analysing the images varying in time, object tracking, human-action recognition.

Povinná literatura

Skansi, S.: Introduction to Deep Learning, Springer 2018, ISBN 978-3-319-73004-2 
C.M. Bishop, Pattern Recognition and Machine Learning, Springer 2006, (ISBN 0-387-31073-8 , 978-0-387-31073-2).
A Hornberg, Handbook of Machine Vision, Wiley VCH, 2006, (ISBN 978-3-527-40584-8 ).
E.Sojka, Digitální zpracování a analýza obrazů, VŠB-TU Ostrava, 2000 (ISBN 80-7078-746-5).

Doporučená literatura

Charu C. Aggarwal: Neural Networks and Deep Learning, Springer 2018, ISBN 978-3-319-94463-0 
Hornberg A. (Editor): Handbook of Machine and Computer Vision: The Guide for Developers and Users, 2nd Edition, Wiley 2017, ISBN: 978-3-527-41339-3 
Al Bovik, Handbook of Image and Video processing 2nd Edition, Elsevier Academic Press, 2005, (ISBN 0121197921, 978-0121197926).
R.C. Gonzales and R.E. Woods, Digital Image Processing, (3rd edition), Prentice Hall, 2008, (ISBN 0-13-505267-X ).
W.K. Pratt, Digital image processing: PIKS inside (3rd edition), John Wiley and Sons, 2001 (ISBN 0-471-37407-5 ).
K.R. Castleman: Digital Image Processing, Prentice Hall 1996 (ISBN 0-13-211467-4).


zpět na vyhledávání
Language of instruction čeština, angličtina
Code 460-6013
Abbreviation ANO
Course title Image Analysis
Coordinating department Department of Computer Science
Course coordinator doc. Dr. Ing. Eduard Sojka