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Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1412006(2024)

Surface Roughness Prediction Based on Laser Speckle Images and Convolutional Neural Network-Support Vector Regression

Zheng Li1, Zhizhong Deng1, Pengfei Wu1,3、*, and Bin Liang2
Author Affiliations
  • 1School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, Shaanxi, China
  • 2School of Computer Science, Xi'an Shiyou University, Xi'an 710065, Shaanxi, China
  • 3Xi'an Key Laboratory of Wireless Optical Communication and Network Research, Xi'an 710048, Shaanxi, China
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    Article index updated: Sep. 9, 2025

    The article is cited by 2 article(s) CLP online library. (Some content might be in Chinese.)
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    Zheng Li, Zhizhong Deng, Pengfei Wu, Bin Liang. Surface Roughness Prediction Based on Laser Speckle Images and Convolutional Neural Network-Support Vector Regression[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1412006

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Oct. 16, 2023

    Accepted: Dec. 25, 2023

    Published Online: Jul. 4, 2024

    The Author Email: Pengfei Wu (wupengf@xaut.edu.cn)

    DOI:10.3788/LOP232311

    CSTR:32186.14.LOP232311

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology