Bootstrap Filtering of 2D Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F02%3A00006980" target="_blank" >RIV/60461373:22340/02:00006980 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Bootstrap Filtering of 2D Images
Original language description
Digital signal processing of the 2D images plays role in optical monitoring of technological process. Noise suppression is a basic aim of image filtering. A wide class of 2D filters is based on pixel neighborhood analysis using statistical estimates. Every statistical sample can be re-sampled and re-estimated. This non-parametric technique is called Bootstrap. Combining neighborhood data, original filter as estimate and re-sampling technique we obtain Bootstrap estimate of central pixel intensity and its variance. Both linear and nonlinear filters are re-sampled and compared using SNR criteria. Bootstrap variances enable to construct compromise estimates with adaptive behavior.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. of the 5th Int. Scientific - Technical Conference on Process Control '02
ISBN
80-7194-452-1
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
University of Pardubice
Place of publication
Pardubice
Event location
Kouty nad Desnou
Event date
Jun 9, 2002
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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