Development of iterative algorithms for industrial tomography

A. V. Likhachov, V. V. Pickalov, N. V. Chugunova, V. A. Baranov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The limited-angle problem and the divergence of the probing beam are considered as the features of industrial tomography. Modifications of the algebraic algorithms ART and MART are studied under limited-angle conditions. In particular, the non-linear backprojection estimations are suggested as a first guess. A new iterative algorithm based on the Neumann series decomposition is developed for the tomography in divergent beams. Numerical simulations are carried out.

Original languageEnglish
Title of host publication1st World Congress on Industrial Process Tomography
PublisherInternational Society for Industrial Process Tomography
Pages463-469
Number of pages7
ISBN (Print)9780853163176
Publication statusPublished - 1999
Event1st World Congress in Industrial Process Tomography - Greater Manchester, United Kingdom
Duration: 14 Apr 199917 Apr 1999

Other

Other1st World Congress in Industrial Process Tomography
CountryUnited Kingdom
CityGreater Manchester
Period14.4.9917.4.99

Keywords

  • Iterative algorithms
  • Limited-angle tomography

ASJC Scopus subject areas

  • Computational Mechanics
  • Control and Systems Engineering
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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  • Cite this

    Likhachov, A. V., Pickalov, V. V., Chugunova, N. V., & Baranov, V. A. (1999). Development of iterative algorithms for industrial tomography. In 1st World Congress on Industrial Process Tomography (pp. 463-469). International Society for Industrial Process Tomography.