• Acta Optica Sinica
  • Vol. 40, Issue 22, 2211001 (2020)
Le Wang1, Yue Fang2, Shengchun Wang2, Hao Wang2, Shengwei Ren2, Guoqing Li2、*, Peng Dai2, and Fan Wang2
Author Affiliations
  • 1Graduate Department of China Academy of Railway Sciences, Beijing, 100081, China
  • 2Infrastructure Inspection Research Institute, China Academy of Railway Sciences Co., Ltd., Beijing 100081, China
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    DOI: 10.3788/AOS202040.2211001 Cite this Article Set citation alerts
    Le Wang, Yue Fang, Shengchun Wang, Hao Wang, Shengwei Ren, Guoqing Li, Peng Dai, Fan Wang. Line-Structured Light Imaging Method of Rail Profile Based on Polarization Fusion[J]. Acta Optica Sinica, 2020, 40(22): 2211001 Copy Citation Text show less
    Principle diagram of line-structured light imaging of rail profile based on traditional unpolarized camera
    Fig. 1. Principle diagram of line-structured light imaging of rail profile based on traditional unpolarized camera
    Local overexposure of rail laser section image. (a) Areas prone to overexposure; (b) image acquisition device; (c) local overexposure image
    Fig. 2. Local overexposure of rail laser section image. (a) Areas prone to overexposure; (b) image acquisition device; (c) local overexposure image
    Center of light strip in the overexposed area of rail laser section image
    Fig. 3. Center of light strip in the overexposed area of rail laser section image
    Schematic diagram of rail profile detection based on polarization imaging
    Fig. 4. Schematic diagram of rail profile detection based on polarization imaging
    Polarization filter and pixel distribution of polarization camera
    Fig. 5. Polarization filter and pixel distribution of polarization camera
    Polarization component images of rail laser section. (a) 0° directional polarization component image; (b) 135° directional polarization component image; (c) 45° directional polarization component image; (d) 90° directional polarization component image
    Fig. 6. Polarization component images of rail laser section. (a) 0° directional polarization component image; (b) 135° directional polarization component image; (c) 45° directional polarization component image; (d) 90° directional polarization component image
    Width of light strip in each column of rectangular areas in Fig. 2 and Fig. 6
    Fig. 7. Width of light strip in each column of rectangular areas in Fig. 2 and Fig. 6
    Flowchart of image fusion algorithm
    Fig. 8. Flowchart of image fusion algorithm
    Experimental setup for polarization characteristics of rail laser section image
    Fig. 9. Experimental setup for polarization characteristics of rail laser section image
    0° and 90° directional polarization component images
    Fig. 10. 0° and 90° directional polarization component images
    Polarization angle distribution in rectangular region
    Fig. 11. Polarization angle distribution in rectangular region
    Image fusion weights in rectangular areas in Fig. 2 and Fig. 6
    Fig. 12. Image fusion weights in rectangular areas in Fig. 2 and Fig. 6
    Fusion image F
    Fig. 13. Fusion image F
    Light strip center of fusion image
    Fig. 14. Light strip center of fusion image
    Measurement errors of rail profile by our method and traditional method
    Fig. 15. Measurement errors of rail profile by our method and traditional method
    RegionRectangle 1Rectangle 2Rectangle 3Rectangle 4Rectangle 5Rectangle 6
    Degree of polarization0.900.810.110.880.910.28
    Table 1. Degree of polarization of six rectangular regions
    Le Wang, Yue Fang, Shengchun Wang, Hao Wang, Shengwei Ren, Guoqing Li, Peng Dai, Fan Wang. Line-Structured Light Imaging Method of Rail Profile Based on Polarization Fusion[J]. Acta Optica Sinica, 2020, 40(22): 2211001
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