• Laser & Optoelectronics Progress
  • Vol. 58, Issue 12, 1210025 (2021)
Min Ma*, Yifei Liu, and Shixi Wang
Author Affiliations
  • College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
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    DOI: 10.3788/LOP202158.1210025 Cite this Article Set citation alerts
    Min Ma, Yifei Liu, Shixi Wang. Electrical Capacitance Tomography Sensitivity Field Optimization Algorithm Based on Approximate L0 Norm[J]. Laser & Optoelectronics Progress, 2021, 58(12): 1210025 Copy Citation Text show less
    References

    [1] Ma M, Wang B B, Xue Q. ECT image reconstruction algorithm based on data fusion[J]. Chinese Journal of Scientific Instrument, 36, 2798-2803(2015).

    [2] Wang H X. Electrical tomography technology[J]. Process Automation Instrumentation, 38, 1-6(2017).

    [3] Chen Y. Research on inverse problems solving and image reconstruction algorithm for electrical capacitance tomography system[D](2010).

    [4] Liu J, Kang Y Q, Gu Y B et al. Low dose computed tomography image reconstruction based on sparse tensor constraint[J]. Acta Optica Sinica, 39, 0811004(2019).

    [5] Cui Z Q, Wang Q, Xue Q et al. A review on image reconstruction algorithms for electrical capacitance/resistance tomography[J]. Sensor Review, 36, 429-445(2016).

    [6] Xia C K, Su C L, Cao J T et al. Reconstruction of electrical capacitance tomography images based on fast linearized alternating direction method of multipliers for two-phase flow system[J]. Chinese Journal of Chemical Engineering, 24, 597-605(2016).

    [7] Li K Z, Chandrasekera T C, Li Y et al. A non-linear reweighted total variation image reconstruction algorithm for electrical capacitance tomography[J]. IEEE Sensors Journal, 18, 5049-5057(2018). http://ieeexplore.ieee.org/document/8338108/

    [8] Wang Q, Zhang R H, Wang J H et al. Image reconstruction method based on compressive sensing for ECT/CT dual modality fusion system[J]. Chinese Journal of Scientific Instrument, 35, 1338-1346(2014).

    [9] Wang Z C, Li W T, Hu X L et al. Study on soft field characteristic of ECT system for two-phase measurement[J]. Chinese Journal of Scientific Instrument, 24, 404-405, 410(2003).

    [10] Nie D D, Gong Y L. A sparse signal reconstruction algorithm based on approximate L0 norm[J]. Journal of Computer Research and Development, 55, 1090-1096(2018).

    [11] Yang W Q. Design of electrical capacitance tomography sensors[J]. Measurement Science and Technology, 21, 042001(2010).

    [12] Zhang L F, Wang H X. A new normalization method based on electrical field lines for electrical capacitance tomography[J]. Measurement Science and Technology, 20, 104028(2009). http://adsabs.harvard.edu/abs/2009MeScT..20j4028Z

    [13] Soleimani M, Yalavarthy P K, Dehghani H. Helmholtz-type regularization method for permittivity reconstruction using experimental phantom data of electrical capacitance tomography[J]. IEEE Transactions on Instrumentation and Measurement, 59, 78-83(2010). http://ieeexplore.ieee.org/document/5196811

    [14] Zhao J C, Liu J H, Li Z G et al. Image reconstruction algorithm based on updated sensitivity field for ECT[J]. Computer Engineering and Applications, 48, 167-169(2012).

    [15] Qi R, Li H W, Zhang Y J. Block sparse signal reconstruction algorithm based on improved smoothed 10 l0 norm[J]. Computer Engineering, 41, 294-298(2015).

    [16] Yang X, Xu L, Yang C H et al. High-quality ghost imaging based on joint bilateral filter[J]. Acta Optica Sinica, 40, 1411002(2020).

    [17] Cui X M, Yu F Q. Moving least squares based image deformation algorithm improved with Tikhonov regularization[J]. Laser & Optoelectronics Progress, 56, 231004(2019).

    Min Ma, Yifei Liu, Shixi Wang. Electrical Capacitance Tomography Sensitivity Field Optimization Algorithm Based on Approximate L0 Norm[J]. Laser & Optoelectronics Progress, 2021, 58(12): 1210025
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