• Laser & Optoelectronics Progress
  • Vol. 59, Issue 4, 0410005 (2022)
Zongfang Ma1, Xingwei Yang1、*, Lin Song1, Chao Liu2, Huawei Liu3, and Yiwen Wu3
Author Affiliations
  • 1College of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an , Shaanxi 710055, China
  • 2School of Science, Xi'an University of Architecture and Technology, Xi'an , Shaanxi 710055, China
  • 3School of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an , Shaanxi 710055, China
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    DOI: 10.3788/LOP202259.0410005 Cite this Article Set citation alerts
    Zongfang Ma, Xingwei Yang, Lin Song, Chao Liu, Huawei Liu, Yiwen Wu. Fine Segmentation of Concrete 3D-Printed Elements Based on Information Entropy Between Layers[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410005 Copy Citation Text show less
    Algorithm flow
    Fig. 1. Algorithm flow
    Comparison results of segmentation algorithm. (a) Original image; (b) FCM; (c) OTSU; (d) MET; (e) MIT; (f) Watershed; (g) proposed algorithm; (h) manually labeled image
    Fig. 2. Comparison results of segmentation algorithm. (a) Original image; (b) FCM; (c) OTSU; (d) MET; (e) MIT; (f) Watershed; (g) proposed algorithm; (h) manually labeled image
    Accuracy of different algorithms for concrete 3D components
    Fig. 3. Accuracy of different algorithms for concrete 3D components
    F1 of different algorithms for concrete 3D components
    Fig. 4. F1 of different algorithms for concrete 3D components
    Detection results of element defect.(a) Original image; (b) FCM; (c) OTSU; (d) MET; (e) MIT; (f) Watershed; (g) proposed algorithm
    Fig. 5. Detection results of element defect.(a) Original image; (b) FCM; (c) OTSU; (d) MET; (e) MIT; (f) Watershed; (g) proposed algorithm
    Segmentation results under different γ thresholds
    Fig. 6. Segmentation results under different γ thresholds
    Segmentation results under different d thresholds
    Fig. 7. Segmentation results under different d thresholds
    γPrecisionRecallAccuracyF-measure
    0.50.97620.77070.86590.8614
    10.97900.80360.88450.8827
    20.98830.79210.88250.8794
    30.98930.68350.82490.8085
    Table 1. Index comparison of segmentation results with different γ thresholds
    dPrecisionRecallAccuracyF-measure
    10.98610.64960.80560.7832
    20.98830.72910.88250.8794
    30.98850.86290.92050.9215
    40.98930.91280.94750.9495
    Table 2. Index comparison of segmentation results with different d thresholds
    Zongfang Ma, Xingwei Yang, Lin Song, Chao Liu, Huawei Liu, Yiwen Wu. Fine Segmentation of Concrete 3D-Printed Elements Based on Information Entropy Between Layers[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410005
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