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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

  • DOI - Digital Object Identifier

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

Result continuities

  • Project

  • 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

  • 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

  • UT code for WoS article

  • EID of the result in the Scopus database