Construction of a full row-rank matrix system for multiple scanning directions in discrete tomography
作者:
Highlights:
•
摘要
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.
论文关键词:Strip-based projection model,Full row-rank system,Minimal linearly dependent
论文评审过程:Received 16 November 2015, Revised 17 June 2016, Available online 6 September 2016, Version of Record 16 September 2016.
论文官网地址:https://doi.org/10.1016/j.cam.2016.08.039