• Chinese Journal of Lasers
  • Vol. 47, Issue 1, 0114001 (2020)
Jiyang Zhang1、2, Jiaojiao Ren1、2, Sihong Chen1、2, Lijuan Li1、2、*, and Changshuang Zhao3
Author Affiliations
  • 1Key Laboratory of Photoelectric Measurement and Control and Optical Information Transmission Technology,Ministry of Education, College of Optoelectronic Engineering, Changchun University of Science and Technology,Changchun, Jilin 130022, China
  • 2National Experimental Teaching and Demonstration Center of Optoelectronic Engineering, College of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China
  • 393367 troops of the Chinese People's Liberation Army, Siping, Jilin 136000, China
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    DOI: 10.3788/CJL202047.0114001 Cite this Article Set citation alerts
    Jiyang Zhang, Jiaojiao Ren, Sihong Chen, Lijuan Li, Changshuang Zhao. Application of Wavelet Denoising in Terahertz Nondestructive Detection[J]. Chinese Journal of Lasers, 2020, 47(1): 0114001 Copy Citation Text show less
    Photograph and schematic of terahertz time-domain spectroscopy system. (a) Photograph; (b) working principle
    Fig. 1. Photograph and schematic of terahertz time-domain spectroscopy system. (a) Photograph; (b) working principle
    Schematic of tomographic short-time integral imaging
    Fig. 2. Schematic of tomographic short-time integral imaging
    Photograph of phenolic plastic plate and comparison of defect detection images of two tomographic methods. (a) Photograph of phenolic plastic plate; (b) defect size design; (c) detection result of tomographic imaging method; (d) detection result of tomographic short-time integral imaging method
    Fig. 3. Photograph of phenolic plastic plate and comparison of defect detection images of two tomographic methods. (a) Photograph of phenolic plastic plate; (b) defect size design; (c) detection result of tomographic imaging method; (d) detection result of tomographic short-time integral imaging method
    Implementation process of wavelet threshold denoising
    Fig. 4. Implementation process of wavelet threshold denoising
    Schematic of interval setting of δ-σ evaluation rule
    Fig. 5. Schematic of interval setting of δ-σ evaluation rule
    Photograph and defect size design of phenolic plastic samples. (a) Photograph; (b) defect size design
    Fig. 6. Photograph and defect size design of phenolic plastic samples. (a) Photograph; (b) defect size design
    Pseudo-color maps of power spectral imaging. (a) Before preprocessing; (b) sym7, three layers, soft-threshold preprocessing; (c) sym7, five layers, hard-threshold preprocessing; (d) sym7, five layers, soft-threshold preprocessing
    Fig. 7. Pseudo-color maps of power spectral imaging. (a) Before preprocessing; (b) sym7, three layers, soft-threshold preprocessing; (c) sym7, five layers, hard-threshold preprocessing; (d) sym7, five layers, soft-threshold preprocessing
    Nondestructive detection signals of samples before and after preprocessing. (a) Before preprocessing; (b) sym7, three layers, soft-threshold preprocessing; (c) sym7, five layers, hard-threshold preprocessing (d) sym7, five layers, soft-threshold preprocessing
    Fig. 8. Nondestructive detection signals of samples before and after preprocessing. (a) Before preprocessing; (b) sym7, three layers, soft-threshold preprocessing; (c) sym7, five layers, hard-threshold preprocessing (d) sym7, five layers, soft-threshold preprocessing
    Phenolic plastic sampleSubjective evaluationObjective evaluation
    Identify number of defectsDefect recognition rate /%Weber contrast
    Before pretreatment4660.292
    Soft threshold, 3 layers5830.321
    Hard threshold, 5 layers61000.388
    Soft threshold, 5 layers61000.415
    Table 1. Evaluation results of nondestructive detection images of different prefabricated defects in phenolic plastic samples
    Jiyang Zhang, Jiaojiao Ren, Sihong Chen, Lijuan Li, Changshuang Zhao. Application of Wavelet Denoising in Terahertz Nondestructive Detection[J]. Chinese Journal of Lasers, 2020, 47(1): 0114001
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