基于代数迭代的Mojette变换层析重建算法
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  • 英文篇名:Mojette Transform Tomographic Reconstruction Algorithm Based on Algebraic Iteration
  • 作者:王佳 ; 张玉虹 ; 张维光
  • 英文作者:Wang Jia;Zhang Yuhong;Zhang Weiguang;School of Optoelectronic Engineering,Xi′an Technological University;
  • 关键词:图像处理 ; 层析成像技术 ; 代数迭代算法 ; Mojette变换 ; 燃烧场成像
  • 英文关键词:image processing;;tomographic imaging technique;;algebraic iteration algorithm;;Mojette transform;;combustion field imaging
  • 中文刊名:GXXB
  • 英文刊名:Acta Optica Sinica
  • 机构:西安工业大学光电工程学院;
  • 出版日期:2018-10-07 14:19
  • 出版单位:光学学报
  • 年:2019
  • 期:v.39;No.443
  • 基金:国家自然科学基金(61701385);; 中央高校基本科研业务费专项资金(30916014112-014);; 陕西省教育厅专项科研计划(17JK0385)
  • 语种:中文;
  • 页:GXXB201902015
  • 页数:6
  • CN:02
  • ISSN:31-1252/O4
  • 分类号:127-132
摘要
提出了一种基于代数迭代的Mojette变换层析重建算法。在确定最佳投影角度的基础上,结合传统层析技术中的乘性代数迭代算法进行重建。利用该算法对轴对称火焰进行了层析重建。数值模拟结果表明,与基于角的重建算法相比,该算法在噪声较大情况下的层析重建质量更好。
        A Mojette transform tomographic reconstruction algorithm based on algebraic iteration is proposed. In the algorithm, the optimal projection angles are determined, and the multiplicative algebraic iterative algorithm in traditional tomography is adopted for reconstruction. The proposed algorithm is used to tomographic reconstruction of an axisymmetric flame. Numerical simulations show that, for the projections with high noise, the proposed algorithm has better reconstruction quality comparing with the Corner Based Inversion.
引文
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