Institute of Information Theory and Automation

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Doc. RNDr. Barbara Zitová, Ph.D.

head of the department
Research interests: 
All aspects of digital image processing and pattern recognition; particularly object recognition by invariants, degraded image recognition, geometric invariants, theory of moments, remote sensing and medical imaging applications, cultural heritage applications.
Publications ÚTIA: 

Barbara Zitová received her PhD degree in software systems from the Charles University, Prague, Czech Republic, in 2000. She is a head of Department of Image Processing at the Institute of Information Theory and Automation, Czech Academy of Sciences, Prague. She teaches courses on Digital Image Processing and Wavelets in Image Processing. She has authored/coauthored more than 70 research publications in these areas, including the monographs Moments and Moment Invariants in Pattern Recognition (Wiley, 2009) and 2D and 3D Image Analysis by Moments (Wiley, 2016). In 2010 she was awarded by the SCOPUS 1000 Award for receiving more than 1000 citations of a single paper. Barbara Zitová has many editorial and organizational activities. Among others, she has been an Associate Editor of the journal Pattern Recognition. 

Ph.D graduates: RNDr. Miroslav Beneš, PhD, 2014

                             Mgr. Jan Blažek, PhD, 2018

Curriculum vitae

Google Scholar



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2024-04-08 14:57

Person detail

Duration: 2024 - 2027
The project aims to develop AI/ML models and a theoretical framework to identify and record culturally significant and climate-endangered scents, utilizing internet data for scent valuation.
Duration: 2023 - 2024
This interdisciplinary scientific project aims to examine the creative context of one of Leonardo's most reproduced subjects: the Salvator Mundi.
Duration: 2022 - 2025
The project addresses AI forensic data mining - a new SW platform for detecting objects of interest based on complex spatio-temporal relationships with object attributes and indexed relationships. It will enable AI training directly in the forensic environment using semi-automatic and weakly supervised learning.The lack and accessibility of training data will be considered.
Duration: 2020 - 2021
Řešení automatické analýzy spadu v úlech za účelem detekce Varroa pomocí metod digitálního zpracování obrazu
Duration: 2020 - 2022
The main objective of the project is to develop a dairy cow health control system, the ultimate goal of which would be to significantly reduce the use of antibiotics in the treatment and prevention of infectious mammary gland inflammation. Sub-goals: - Design a system of continuous microbiological diagnostics on dairy farms - Monitor the health and economic benefits of consistently applyi
Duration: 2019 - 2021
The aim of the VKG 3.0 project is a new system for the diagnosis of vocal disorders, consisting of a new type of multi-line video camera and data processing software.



RNDr. Zuzana Kovaříková
RNDr. Miroslav Beneš Ph.D.
RNDr. Jan Blažek Ph.D.
Fakulta jaderná a fyzikálně-inženýrská ČVUT
Matematicko-fyzikální fakulta UK
Matematicko-fyzikální fakulta UK