COURSE DESCRIPTION
Advanced course on selected topics of image analysis
Major attention is paid to image moments, moment-based features, wavelet transform, and to their applications in image processing, namely in object recognition, edge detection, noise removal, image registration, and image compression. Numerous practical applications and experimental results are presented in the lectures.
This course is taught in the same form at the MFF CUNI and FJFI CTU.
The lecture on 24 February is canceled !!
COURSE HANDOUTS
The files contain most of the slides used. This is not the complete lecture content; the knowledge recorded in the files is insufficient to pass the exam!
RECOMMENDED LITERATURE
[1] Jan Flusser, Tomáš Suk and Barbara Zitová, 2D and 3D Image Analysis by Moments, Wiley & Sons Ltd., 2016
[2] Jan Flusser, Tomáš Suk and Barbara Zitová, Moments and Moment Invariants in Pattern Recognition, Wiley & Sons Ltd., 2009 (317 pp., ISBN 978-0-470-69987-4)
Recordings of lectures
Below you can find the recorded lectures from LS 2020/21. The first two are unfortunately not recorded, the third one is missing the last 20 minutes.
