Infrared and Laser Engineering, Volume. 52, Issue 12, 20230348(2023)

Research on surface roughness modeling based on multiple feature parameters of laser speckle image

Pengfei Wu1,2, Zhizhong Deng1, Sichen Lei1,2, Zhenkun Tan3, and Jiao Wang4
Author Affiliations
  • 1School of Automation and Information Engineering, Xi 'an University of Technology, Xi’an 710048, China
  • 2Xi 'an Key Laboratory of Wireless Optical Communication and Network Research, Xi’an 710048, China
  • 3School of Electronic Information and Artificial Intelligence, Shaanxi University of Science & Technology, Xi’an 710021, China
  • 4School of Opto-electronical Engineering, Xi’an Technological University, Xi’an 710021, China
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    References(20)

    [2] Ying Liu, Zhiguo Lang, Wenyan Tang. Development of measurement system about light-section microscope for surface roughness. Infrared and Laser Engineering, 41, 775-779(2012).

    [15] D R Patel, M B Kiran. Non-contact surface roughness measurement using laser speckle technique. IOP Conference Series: Materials Science and Engineering, 895, 012007(2020).

    [18] [18] Haridas A, Crivoi A, Prabhathan P, et al. Fractal speckle image analysis f surface acterization of aerospace structures[C]International Conference on Optical & Photonics Engineering, 2017, 10449: 329336.

    [20] [20] Goodman J W. Speckle Phenomena in Optics: They Applications[M]. US: Roberts Company Publishers, 2014: 911.

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    Pengfei Wu, Zhizhong Deng, Sichen Lei, Zhenkun Tan, Jiao Wang. Research on surface roughness modeling based on multiple feature parameters of laser speckle image[J]. Infrared and Laser Engineering, 2023, 52(12): 20230348

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    Paper Information

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    Received: May. 20, 2023

    Accepted: --

    Published Online: Feb. 23, 2024

    The Author Email:

    DOI:10.3788/IRLA20230348

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