Institute of Information Theory and Automation

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Department: ZOI Duration: 1999 - 2001 Grantor: GACR
The purpose of this study, which will be conducted using non-traditional and highly objective methods, is, firstly, to assess the influence technologies on bioclimatology and, consequently, on the welfare of dairy cows housed in them, and, secondly, to assess the influence of the technology and process of milking on the hidden traumatization of teats and udders that remains undetected by conventio
Department: AS Duration: 1998 - 2000 Grantor:
Adaptive predictors in signal processing and control are mostly based on autoregresive models with external inputs (ARX). There are, however, applications for which the liminations of ARX models might be significant. When looking for an alternative universal class of models, finite order Markov chains seem to be promising alternative.
Department: ZOI Duration: 1998 - 2000 Grantor: GACR
The project managed to find a combined invariants (i.e. w.r.t both convolution and geometric distortion) with different variants of a combination of convolution and geometric transformations based on moments of image function. On the side of the convolution transformation, it is primarily blurring by centrally symmetric energy-preserving linear filter.
Department: ZOI Duration: 1997 - 1999 Grantor: GACR
The fractographic analysis has a wide use in material research and industrial applications. However, the conservative fractographic methods - searching and deterministic description of fractographic features using photographic techniques, manual measurement, etc. - have reached their limits. Therefore the new development requires to introduce the up-to-date methods of computer image processing.
Department: ZOI Duration: 1996 - 1998 Grantor:
The project is devoted to the feature-based description of blurred digital images acquired by a linear shift-invariant imaging system and to the recognition of such images with respect to an image database. Finding appropriate features for object description is the key to successful recognition of degraded objects.
Department: ZOI Duration: 1995 - 1997 Grantor: GACR
Cooperation with Czech Technical University