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 language | English |
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Pages (from-to) | 529-538 |
Number of pages | 10 |
Journal | Journal of Computational and Applied Mathematics |
Volume | 311 |
DOIs | |
State | Published - Feb 1 2017 |
Scopus Subject Areas
- Computational Mathematics
- Applied Mathematics
Keywords
- Full row-rank system
- Minimal linearly dependent
- Strip-based projection model