Combination of deterministic and stochastic approaches to the image reconstruction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU74521" target="_blank" >RIV/00216305:26220/08:PU74521 - 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
Combination of deterministic and stochastic approaches to the image reconstruction
Original language description
In this paper is described a new algorithm based on the combination of deterministic and stochastic approaches to the reconstruction process of the surface conductivity distribution to obtain the best results. The images of the electrical surface conductivity distribution can be reconstructed from voltage measurement captured on the boundaries of an object. The image reconstruction problem is an ill-posed inverse problem of finding such surface conductivity that minimizes the suitable optimisation criterion. The advantages of a new approach are compared with properties of deterministic and stochastic approaches during the same image reconstructions. It will be shown that proposed algorithm is a very effective way to obtain the satisfying identificationof cracks in special structures called honeycombs.
Czech name
Kombinace deterministických a stochastických metod pro rekonstrukci obrazu
Czech description
In this paper is described a new algorithm based on the combination of deterministic and stochastic approaches to the reconstruction process of the surface conductivity distribution to obtain the best results. The images of the electrical surface conductivity distribution can be reconstructed from voltage measurement captured on the boundaries of an object. The image reconstruction problem is an ill-posed inverse problem of finding such surface conductivity that minimizes the suitable optimisation criterion. The advantages of a new approach are compared with properties of deterministic and stochastic approaches during the same image reconstructions. It will be shown that proposed algorithm is a very effective way to obtain the satisfying identificationof cracks in special structures called honeycombs.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
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
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Electrical and Electronic Engineering
ISSN
1336-1376
e-ISSN
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Volume of the periodical
08
Issue of the periodical within the volume
7
Country of publishing house
SK - SLOVAKIA
Number of pages
406
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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