Main > Chinese Journal of Lasers >  Volume 47 >  Issue 1 >  Page 0114001 > Article
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  • Received: Jul. 4, 2019

    Accepted: Oct. 9, 2019

    Posted: Jan. 1, 2020

    Published Online: Jan. 9, 2020

    The Author Email: Li Lijuan (custjuan@126.com)

    DOI: 10.3788/CJL202047.0114001

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    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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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

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Schematic of tomographic short-time integral imaging

Fig. 2. Schematic of tomographic short-time integral imaging

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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

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Implementation process of wavelet threshold denoising

Fig. 4. Implementation process of wavelet threshold denoising

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Schematic of interval setting of δ-σ evaluation rule

Fig. 5. Schematic of interval setting of δ-σ evaluation rule

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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

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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

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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

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