• Laser & Optoelectronics Progress
  • Vol. 59, Issue 19, 1912001 (2022)
Jingya Yi1、*, Tianguang Zhao1, Yuxiang Wu2, Zhangyu Ma1, and Jinyu Su1
Author Affiliations
  • 1The Engineering Research Center for Intelligent Robotics, Jihua Laboratory, Foshan 538000, Guangdong , China
  • 2School of Physics and Optoelectronic Engineering, Xidian University, Xi’an 710000, Shaanxi , China
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    DOI: 10.3788/LOP202259.1912001 Cite this Article Set citation alerts
    Jingya Yi, Tianguang Zhao, Yuxiang Wu, Zhangyu Ma, Jinyu Su. Fast Extraction Method of Stripe Center Based on Time-Continuous Frame Information Multiplexing[J]. Laser & Optoelectronics Progress, 2022, 59(19): 1912001 Copy Citation Text show less
    Extraction process of laser fringe centerline
    Fig. 1. Extraction process of laser fringe centerline
    Workpiece and line laser image.(a) Workpiece;(b) line laser image; (c) image processed by adaptive gamma transform algorithm
    Fig. 2. Workpiece and line laser image.(a) Workpiece;(b) line laser image; (c) image processed by adaptive gamma transform algorithm
    Double threshold optical strip segmentation
    Fig. 3. Double threshold optical strip segmentation
    Subpixel coordinate extraction. (a) Normal direction of centerline; (b) subpixel precision centerline
    Fig. 4. Subpixel coordinate extraction. (a) Normal direction of centerline; (b) subpixel precision centerline
    Flow chart of algorithm
    Fig. 5. Flow chart of algorithm
    Flow chart of nearest neighbor search algorithm
    Fig. 6. Flow chart of nearest neighbor search algorithm
    Diagram of nearest neighbor search
    Fig. 7. Diagram of nearest neighbor search
    Experimental system image. (a) Measuring system; (b) scanning metal workpiece
    Fig. 8. Experimental system image. (a) Measuring system; (b) scanning metal workpiece
    Ten frames of continuous stripe pattern. (a) Frame 1; (b) frame 2; (c) frame 3; (d) frame 4; (e) frame 5; (f) frame 6; (g) frame 7; (h) frame 8; (i) frame 9; (j) frame 10
    Fig. 9. Ten frames of continuous stripe pattern. (a) Frame 1; (b) frame 2; (c) frame 3; (d) frame 4; (e) frame 5; (f) frame 6; (g) frame 7; (h) frame 8; (i) frame 9; (j) frame 10
    Root mean square error distribution of each method
    Fig. 10. Root mean square error distribution of each method
    3D reconstruction of welding workpiece. (a) Metal workpiece; (b) 3D point cloud
    Fig. 11. 3D reconstruction of welding workpiece. (a) Metal workpiece; (b) 3D point cloud
    3D reconstruction of complex workpiece. (a) Metal workpiece; (b) 3D point cloud
    Fig. 12. 3D reconstruction of complex workpiece. (a) Metal workpiece; (b) 3D point cloud
    Search combinationPA search abort conditionPB search abort conditionXmin valueXmax value
    A1B1grjr,a-δ1<gTgrjr,a+δ2<gTa-δ1+1a+δ2-1
    A1B2grjr,a-δ1<gTgrjr,a-δ2gTa-δ1+1a-δ2
    A2B1grjr,a+δ1gTgrjr,a+δ2<gTa+δ1a+δ2-1
    A2B2grjr,a+δ1gTa+δ1<bgrjr,a+δ1gTa+δ1<bgrjr,a+δ2<gTa+δ2>a+δ1grjr,a+δ2<gTa+δ2>a+δ1a+δ1a-δ2
    A2B2a+δ1=ba+δ2a+δ1-1-1
    Table 1. Corresponding Xmin,Xmax value for different search combinations
    NumberMethodAverage time /ms
    1Steger127.39
    2Gray centroid method28.75
    3Adaptive segmentation method33.51
    4Proposed method18.78
    Table 2. Running time of different methods
    NumberMethodStandard deviation mean σ¯ /pixel
    1Steger0.01981
    2Gray centroid method0.02825
    3Adaptive segmentation method0.00506
    4Proposed method0.00235
    Table 3. Error analysis
    Jingya Yi, Tianguang Zhao, Yuxiang Wu, Zhangyu Ma, Jinyu Su. Fast Extraction Method of Stripe Center Based on Time-Continuous Frame Information Multiplexing[J]. Laser & Optoelectronics Progress, 2022, 59(19): 1912001
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