Local uncertainty in binary tomographic reconstruction

László Varga, László G. Nyúl, Antal Nagy, Péter Balázs

Research output: Contribution to conferencePaper

6 Citations (Scopus)

Abstract

We describe a new approach for the uncertainty problem arising in the field of discrete tomography, when the low number of projections does not hold enough information for an accurate, and reliable reconstruction. In this case the lack of information results in uncertain parts on the reconstructed image which are not determined by the projections and cannot be reliably reconstructed without additional information. We provide a method that can approximate this local uncertainty of reconstructions, and show how each pixel of the reconstructed image is determined by a set of given projections. We also give experimental results for validating our approach.

Original languageEnglish
Pages490-496
Number of pages7
DOIs
Publication statusPublished - Apr 29 2013
EventIASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2013 - Innsbruck, Austria
Duration: Feb 12 2013Feb 14 2013

Other

OtherIASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2013
CountryAustria
CityInnsbruck
Period2/12/132/14/13

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Keywords

  • Binary tomography
  • Optimization
  • Reconstruction
  • Uncertainty

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Varga, L., Nyúl, L. G., Nagy, A., & Balázs, P. (2013). Local uncertainty in binary tomographic reconstruction. 490-496. Paper presented at IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2013, Innsbruck, Austria. https://doi.org/10.2316/P.2013.798-067