Institute of Information Theory and Automation

Department of Image Processing

Head of the Department:
Barbara Zitová

Deputy head of the Department:
Filip Šroubek

Secretary:
Jana Švarcová

phone: +420 286 581 419
www: http://zoi.utia.cas.cz/
staff: people, Ph.D. students
List of publications, courses, projects

The Department is involved in basic research in image processing and pictorial pattern recognition. Major application areas are biomedicine, remote sensing, astronomy, and art conservation.

Main scientific areas
  • Recognition of distorted images and patterns by invariant descriptors regardless of their actual position in the scene
  • Registration and fusion of several images of the same scene taken at different times, by different sensors and/or from different viewpoints in order to obtain information of higher quality
  • Theory of moment invariants, namely of rotation invariants, affine invariants and invariants to convolution
  • Restoration of degraded images, namely multichannel blind deconvolution, edgepreserving denoising, local contrast enhancement, and color transformations
  • Image forensics - detection of image forgeries

 

Last events:



New monograph Moments and Moment Invariants in Pattern Recognition, Wiley & Sons Ltd., 2009 (317 pp., ISBN 978-0-470-69987-4) written by UTIA's researchers Jan Flusser, Tomáš Suk and Barbara Zitová, was published on October 30, 2009.

Akademická rada Akademie věd ČR, na základě návrhu poroty pro udělování Prémií Otto Wichterleho mladým vědeckým pracovníkům v AV ČR, udělila Prémii Otto Wichterleho v roce 2008

Ing. Filipu Šroubkovi, Ph.D.

z Ústavu teorie informace a automatizace.

Konání: 18.ledna (pátek) v 10:00 bude v rámci semináře ZOI pořádaná přednáška Petra Somola

Are Better Feature Selection Methods Actually Better?

One of hot topics discussed recently in relation to pattern recognition techniques is the question of actual performance of modern feature selection methods.

Responsible for information: ZOI
Last modification: 28.11.2009
Institute of Information Theory and Automation