Sparsity-inspired image reconstruction for electrical capacitance tomography
作者: Hongcheng WangIgor FedcheniaSerge L. ShishkinAlan FinnLance L. SmithMeredith Colket
作者单位: 1United Technologies Research Center, 411 Silver Ln, East Hartford, CT 06108, USA
刊名: Flow Measurement and Instrumentation, 2015, Vol.43 , pp.59-71
来源数据库: Elsevier Journal
DOI: 10.1016/j.flowmeasinst.2015.03.001
关键词: SparsityImage reconstructionElectrical Capacitance TomographyTotal VariationSplit-Bregman Iteration
原始语种摘要: Abstract(#br)We present a new image reconstruction method for Electrical Capacitance Tomography (ECT). ECT image reconstruction is generally ill-posed because the number of measurements is small whereas the image dimensions are large. Here, we present a sparsity-inspired approach to achieve better ECT image reconstruction from the small number of measurements. Our approach for ECT image reconstruction is based on Total Variation (TV) regularization. We apply an efficient Split-Bregman Iteration (SBI) approach to solve the problem. We also propose three metrics to evaluate image reconstruction performance, i.e., a joint metric of positive reconstruction rate (PRR) and false reconstruction rate (FRR), correlation coefficient, and a shape and location metric. The results on both synthetic...
全文获取路径: Elsevier  (合作)
影响因子:0.971 (2012)

  • reconstruction 复原
  • image 
  • inspired 吸入的
  • capacitance 电容
  • tomography 断层x 线摄影
  • ECT Earliest Completion Time
  • efficient 有用的
  • regularization 正则化
  • reconstructed 修]重构[建
  • electrical 电的