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Chinese Journal of Lasers, Volume. 49, Issue 9, 0904001(2022)

Surface Roughness Measurement Based on Seam-Driven Image Stitching

Xinyu Zhao1,2, Shengguan Qu1,2、*, Jiliang Lv1,2, Aiming Xu1,2, Tianwen Yao1,2, and Xiaoqiang Li1,2
Author Affiliations
  • 1School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China
  • 2Guangdong Key Laboratory for Processing and Forming of Advanced Metallic Materials, Guangzhou 510640, Guangdong, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (12)
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    References (22)
    Cited By (3)
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    Figures & Tables(12)
    Principle diagram of light section

    Fig. 1. Principle diagram of light section

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    Samples of image processing. (a) Microscopic light strip; (b) Canny edge detection; (c) Freeman edge extraction; (d) fitted midline

    Fig. 2. Samples of image processing. (a) Microscopic light strip; (b) Canny edge detection; (c) Freeman edge extraction; (d) fitted midline

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    Flow chart of image processing

    Fig. 3. Flow chart of image processing

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    SIFT feature point matching

    Fig. 4. SIFT feature point matching

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    Stitched image with seam-cutting

    Fig. 5. Stitched image with seam-cutting

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    Profile measured by stylus

    Fig. 6. Profile measured by stylus

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    Experimental setup

    Fig. 7. Experimental setup

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    Roughness values of different fabricated samples. (a) Turning; (b) end-milling; (c) planing

    Fig. 8. Roughness values of different fabricated samples. (a) Turning; (b) end-milling; (c) planing

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    Comparison of light section and stylus methods. (a) Stylus method; (b) light section method

    Fig. 9. Comparison of light section and stylus methods. (a) Stylus method; (b) light section method

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    Light section images of different samples in same field of view. (a) Turning; (b) end-milling; (c) planing

    Fig. 10. Light section images of different samples in same field of view. (a) Turning; (b) end-milling; (c) planing

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    • Table 1. Comparison of roughnesses measured by stylus method and 3D morphometer

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      Table 1. Comparison of roughnesses measured by stylus method and 3D morphometer

      Metal-removal processGrade of finishTheoretical Ra/μmMeasured Ra/μmError / %
      Stylus method3D morphometer
      Turning∇45105.7325.9583.80
      Turning∇52.55.02.7372.8825.03
      End-milling∇45105.1265.2712.75
      End-milling∇52.55.02.6792.7231.62
      Planing∇45105.1555.73410.09
      Planing∇52.55.02.4292.6548.48

    • Table 2. Surface roughnesses before and after stitching measured by light section method

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      Table 2. Surface roughnesses before and after stitching measured by light section method

      Measured resultTurningEnd-millingPlaning
      ∇4∇5∇4∇5∇4∇5
      Ra before stitching /μm5.8202.8545.3702.6895.4692.766
      Absolute error before stitching /μm0.1380.0280.0990.0340.2650.112
      Relative error before stitching /%2.3200.9701.8901.2504.6204.220
      Ra after stitching /μm6.0792.8785.2772.7015.7202.621
      Absolute error after stitching /μm0.1210.0040.0060.0220.0140.033
      Relative error after stitching /%2.0200.1400.1200.8102.4601.240
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    Xinyu Zhao, Shengguan Qu, Jiliang Lv, Aiming Xu, Tianwen Yao, Xiaoqiang Li. Surface Roughness Measurement Based on Seam-Driven Image Stitching[J]. Chinese Journal of Lasers, 2022, 49(9): 0904001

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    Paper Information

    Category: Measurement and metrology

    Received: Aug. 3, 2021

    Accepted: Oct. 8, 2021

    Published Online: Mar. 3, 2022

    The Author Email: Qu Shengguan (qusg@scut.edu.cn)

    DOI:10.3788/CJL202249.0904001

    Topics

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