Publication detail

Image Reconstruction Using Combination Deterministic and Stochastic Method

DĚDKOVÁ, J.

Original Title

Image Reconstruction Using Combination Deterministic and Stochastic Method

English Title

Image Reconstruction Using Combination Deterministic and Stochastic Method

Type

journal article - other

Language

en

Original Abstract

This paper proposes a new algorithm based on the combination of deterministic and stochastic methods to be used to obtain the best results of a reconstruction process of the surface conductivity distribution. 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 identification of cracks in special structures called honeycombs.

English abstract

This paper proposes a new algorithm based on the combination of deterministic and stochastic methods to be used to obtain the best results of a reconstruction process of the surface conductivity distribution. 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 identification of cracks in special structures called honeycombs.

Keywords

Deterministic and stochastic method, inverse problem, honeycombs.

RIV year

2008

Released

05.01.2008

Publisher

The Electromagnetic academy

Location

Cambridge

ISBN

1931-7360

Periodical

PIERS ONLINE

Year of study

Vol. 45

Number

1

State

US

Pages from

73

Pages to

76

Pages count

4

Documents

BibTex


@article{BUT43922,
  author="Jarmila {Dědková}",
  title="Image Reconstruction Using Combination Deterministic and Stochastic Method",
  annote="This paper proposes a new algorithm based on the combination of deterministic and stochastic methods to be used to obtain the best results of a reconstruction process of the surface conductivity distribution. 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 identification of cracks in special structures called honeycombs.",
  address="The Electromagnetic academy",
  chapter="43922",
  institution="The Electromagnetic academy",
  journal="PIERS ONLINE",
  number="1",
  volume="Vol. 45",
  year="2008",
  month="january",
  pages="73--76",
  publisher="The Electromagnetic academy",
  type="journal article - other"
}