• Laser & Optoelectronics Progress
  • Vol. 60, Issue 10, 1011003 (2023)
Fei Gao1、2, Xueyong Li1、2、*, Shuo Zhang1、2, and Changhou Lu1、2
Author Affiliations
  • 1Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, Shandong , China
  • 2National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, Shandong , China
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    DOI: 10.3788/LOP220483 Cite this Article Set citation alerts
    Fei Gao, Xueyong Li, Shuo Zhang, Changhou Lu. Magneto-Optical Imaging Restoration Method for Damaged Characters with Orthogonal Excitation[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1011003 Copy Citation Text show less
    Magnetic field change at characters. (a) Character magnetic coupling model; (b) x-axis direction; (c) y-axis direction
    Fig. 1. Magnetic field change at characters. (a) Character magnetic coupling model; (b) x-axis direction; (c) y-axis direction
    Principle of magneto-optical imaging
    Fig. 2. Principle of magneto-optical imaging
    Magnetic field distribution in the iron core
    Fig. 3. Magnetic field distribution in the iron core
    Results of simulation. (a) Three-dimensional finite element model; (b) plot of magnetic induction field; (c) horizontal excitation; (d) vertical excitation
    Fig. 4. Results of simulation. (a) Three-dimensional finite element model; (b) plot of magnetic induction field; (c) horizontal excitation; (d) vertical excitation
    Magneto-optical imaging recovery system for damaged characters
    Fig. 5. Magneto-optical imaging recovery system for damaged characters
    Enhancement result of different algorithms. (a) LHE; (b) BPDHE; (c) CLAHE
    Fig. 6. Enhancement result of different algorithms. (a) LHE; (b) BPDHE; (c) CLAHE
    Grayscale curve obtained by different algorithms. (a) Grayscale value of horizontal excitation 220th row pixel; (b) grayscale value of vertical excitation 140th column pixel
    Fig. 7. Grayscale curve obtained by different algorithms. (a) Grayscale value of horizontal excitation 220th row pixel; (b) grayscale value of vertical excitation 140th column pixel
    Magncto-optical imaging result of damaged characters. (a) Character E; (b) character F; (c) character H; (d) character D
    Fig. 8. Magncto-optical imaging result of damaged characters. (a) Character E; (b) character F; (c) character H; (d) character D
    Result of different fusion algorithms. (a) Proposed method; (b) average weighting; (c) wavelet transform
    Fig. 9. Result of different fusion algorithms. (a) Proposed method; (b) average weighting; (c) wavelet transform
    Before grindingAfter grindingCharacterHorizontal excitationVertical excitation
    “E”
    “F”
    “H”
    “D”
    Table 1. Results of magneto-optical imaging appearances for different characters
    Fusion characterInformation entropyVariance

    method

    Proposed

    Average weightingWavelet transform

    method

    Proposed

    Average weightingWavelet transform
    “E”7.19936.94716.94491387.0933.181011.40
    “F”7.07726.83336.84601246.4820.89900.48

    “H”

    “D”

    7.23586.97296.91721509.4968.98898.36
    7.17666.94796.96031323.0926.28978.92
    Table 2. Objective evaluation result of the three fusion algorithms
    Fei Gao, Xueyong Li, Shuo Zhang, Changhou Lu. Magneto-Optical Imaging Restoration Method for Damaged Characters with Orthogonal Excitation[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1011003
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