Construction of a full row-rank matrix system for multiple scanning directions in discrete tomography

Xiezhang Li, James D. Diffenderfer, Jiehua Zhu

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A full row-rank system matrix generated by scans along two directions in discrete tomography was recently studied. In this paper, we generalize the result to multiple directions. Let Ax=h be a reduced binary linear system generated by scans along three directions. Using geometry, it is shown in this paper that the linearly dependent rows of the system matrix A can be explicitly identified and a full row-rank matrix can be obtained after the removal of those rows. The results could be extended to any number of multiple directions. Therefore, certain software packages requiring a full row-rank system matrix can be adopted to reconstruct an image. Meanwhile, the cost of computation is reduced by using a full row-rank matrix.

Original languageEnglish
Pages (from-to)529-538
Number of pages10
JournalJournal of Computational and Applied Mathematics
Volume311
DOIs
StatePublished - Feb 1 2017

Scopus Subject Areas

  • Computational Mathematics
  • Applied Mathematics

Keywords

  • Full row-rank system
  • Minimal linearly dependent
  • Strip-based projection model

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