Summer semester 2022/23:

Lectures will be on WEDNESDAY 10:00 - 11:30 in UTIA (meeting at 9:50 in the lobby)

First lecture 21. 2. 2024

The lecture will take place in the UTIA building. The course is not centrally scheduled at the MFF. Arrangement for lecture - students who have the course registered in SIS will receive info via email.

Classes take place only in the summer semester.

• Geometric moments, definitions, and basic properties

• complex moments

• moment invariants to rotation and scaling

• moment invariants to affine transform

• moment invariants to convolution/blurring and combined invariants

• orthogonal polynomials and orthogonal moments (Legendre moments, Fourier-Mellin moments, Zernike moments)

• discrete moments and their effective calculation

• introduction to wavelet transform (WT)

• edge and corner detection by means of the WT

• image denoising by means of the WT

• image registration by means of the WT

• wavelet-based image compression (block quantizing)

• other applications of the WT in image processing

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!

[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)