• Laser & Optoelectronics Progress
  • Vol. 55, Issue 2, 021011 (2018)
Chunjian Hua1、2, Xuemei Xiong1、*, and Ying Chen1
Author Affiliations
  • 1 School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
  • 1 School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
  • 2 Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment & Technology, Wuxi, Jiangsu 214122, China;
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    DOI: 10.3788/LOP55.021011 Cite this Article Set citation alerts
    Chunjian Hua, Xuemei Xiong, Ying Chen. Feature Extraction of Workpiece Circular Arc Contour Based on Sobel Operator[J]. Laser & Optoelectronics Progress, 2018, 55(2): 021011 Copy Citation Text show less
    Edge detection diagram of Sobel operator. (a) Gray-scale image and (b) edge detection of arc workpiece
    Fig. 1. Edge detection diagram of Sobel operator. (a) Gray-scale image and (b) edge detection of arc workpiece
    Two points extracted in the gray-scale image of the workpiece
    Fig. 2. Two points extracted in the gray-scale image of the workpiece
    Construction process of invariant feature[17]. (a) Point set; (b) convex hull of point set; (c) triangle construction
    Fig. 3. Construction process of invariant feature[17]. (a) Point set; (b) convex hull of point set; (c) triangle construction
    Edge contour feature extraction diagram of the workpiece
    Fig. 4. Edge contour feature extraction diagram of the workpiece
    Radius distribution histogram in polar coordinate
    Fig. 5. Radius distribution histogram in polar coordinate
    Radius distribution in polar coordinate
    Fig. 6. Radius distribution in polar coordinate
    Outer contour point of the arc workpiece
    Fig. 7. Outer contour point of the arc workpiece
    Photograph of experimental setup
    Fig. 8. Photograph of experimental setup
    Gray-scale image of the workpiece under monocular photography
    Fig. 9. Gray-scale image of the workpiece under monocular photography
    Comparison of the extracted outer contour maps with (a) the algorithm in Ref. [12] and (b) the proposed algorithm
    Fig. 10. Comparison of the extracted outer contour maps with (a) the algorithm in Ref. [12] and (b) the proposed algorithm
    VMSE versus L
    Fig. 11. VMSE versus L
    Adaptive weight value β under different illumination intensities
    Fig. 12. Adaptive weight value β under different illumination intensities
    Experimental number12345678
    VMSE1/10-31.9122.3782.6212.3711.8252.2312.0242.339
    Table 1. MSE of the extracted outer contour points with the proposed algorithm
    Experimental number12345678
    VMSE2 /10-31.9422.3672.8342.3632.8562.5432.6672.023
    Table 2. MSE of the extracted inner contour points with the proposed algorithm
    Experimental number12345678
    VMSE3 /10-33.7762.9632.9373.6413.1553.0683.3573.226
    Table 3. MSE of the extracted outer contour points with the algorithm in Ref. [12]
    AlgorithmVMSE /10-3
    L=5 lxL=20 lxL=80 lxL=150 lxL=300 lxL=500 lxL=1000 lxL=1500 lx
    Proposedalgorithm1.9121.8931.8761.9021.9331.9452.0431.896
    Algorithmin Ref. [12]3.5673.2883.0642.8732.5332.2162.3022.357
    Table 4. MSE for outer contour points under different illumination intensities
    Chunjian Hua, Xuemei Xiong, Ying Chen. Feature Extraction of Workpiece Circular Arc Contour Based on Sobel Operator[J]. Laser & Optoelectronics Progress, 2018, 55(2): 021011
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