• Laser & Optoelectronics Progress
  • Vol. 55, Issue 11, 113004 (2018)
Ke Wang1、2、*, Huiqin Wang1、2、**, Ying Yin2, Li Mao2, and Yi Zhang2
Author Affiliations
  • 1 School of Management, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
  • 2 School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
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    DOI: 10.3788/LOP55.113004 Cite this Article Set citation alerts
    Ke Wang, Huiqin Wang, Ying Yin, Li Mao, Yi Zhang. Pigment Spectral Matching Recognition Method Based on Adaptive Edit Distance[J]. Laser & Optoelectronics Progress, 2018, 55(11): 113004 Copy Citation Text show less
    Matching relationship matrix D
    Fig. 1. Matching relationship matrix D
    Spectral reflectance curves of same pigment under different collection conditions
    Fig. 2. Spectral reflectance curves of same pigment under different collection conditions
    Pigment samples
    Fig. 3. Pigment samples
    Spectral reflectance curves of fifteen kinds of pigments
    Fig. 4. Spectral reflectance curves of fifteen kinds of pigments
    Spectral reflectance of different red pigments
    Fig. 5. Spectral reflectance of different red pigments
    SampledataTestdataSamplingpoint numbered
    R1R2662186
    R1R3662119
    Table 1. Matching results of ED algorithm
    Sample dataAlgorithmTest dataSampling point numberedMatching rate /%
    R1EDR266218671.98
    R1R311982.15
    R1ATEDR26624393.51
    R1R32296.67
    Table 2. Matching results using ED algorithm and ATED algorithm
    Sample dataTest dataSampling point numberedMatching rate /%
    R1R23312293.35
    R1R31196.67
    R1R21661193.37
    R1R3696.39
    R1R283692.77
    R1R3396.39
    R1R242392.86
    R1R3295.24
    Table 3. Matching accuracy of ATED algorithm at different spectral resolutions
    Sample pigmentTest pigmentMatching ratio /%
    SAMSCFSIDATED
    MalachiteMalachite94.9897.6397.7899.13
    AzuriteAzurite96.8797.7497.9599.36
    MiniumMinium95.3895.3596.85100.00
    ClammealClammeal97.3396.4396.3899.15
    DahongDahong95.3695.3498.2498.95
    IndigoIndigo96.3598.4696.1399.33
    BlushBlush95.1197.5897.3498.86
    GambogeGamboge96.3596.3796.3799.26
    AzureAzure97.5197.5697.2898.67
    MadderMadder96.2396.2396.74100.00
    HematiteHematite95.2496.3498.1699.84
    CinnabarCinnabar97.4397.5697.6898.17
    Table 4. Spectral matching results of four kinds of algorithms
    SamplepigmentSAM algorithmSCF algorithmSID algorithmATED algorithm
    Matchingrate /%ResultMatchingrate /%ResultMatchingrate /%ResultMatchingrate /%Result
    Minium89.4194.7597.2791.54
    Dahong92.0697.6298.52100.00
    Blush92.56Blush98.43Blush98.39Dahong96.98Dahong
    Madder86.5994.6696.0486.40
    Hematite88.7097.3795.7696.07
    Hematite89.4193.4896.5595.02
    Table 5. Matching results of test pigment dahong
    SamplepigmentSAM algorithmSCF algorithmSID algorithmATED algorithm
    Matchingrate /%ResultMatchingrate /%ResultMatchingrate /%ResultMatchingrate /%Result
    Minium92.7996.3493.6494.34
    Dahong88.1697.2495.1295.15
    Blush83.80Cinnabar95.17Hematite94.31Madder96.21Hematite
    Madder86.7594.5897.9594.36
    Hematite94.0598.5592.3599.18
    Cinnabar96.1396.1295.4596.38
    Table 6. Matching results of test pigment hematite
    SamplepigmentSAM algorithmSCF algorithmSID algorithmATED algorithm
    Matchingrate /%ResultMatchingrate /%ResultMatchingrate /%ResultMatchingrate /%Result
    Minium93.2693.8293.7896.42
    Dahong95.4295.4398.1498.31
    Blush92.18Dahong96.13Cinnabar96.45Dahong99.75Blush
    Madder93.3396.0795.2397.23
    Hematite90.2495.3993.2895.13
    Cinnabar91.1297.4897.3596.14
    Table 7. Matching results of test pigment blush
    Ke Wang, Huiqin Wang, Ying Yin, Li Mao, Yi Zhang. Pigment Spectral Matching Recognition Method Based on Adaptive Edit Distance[J]. Laser & Optoelectronics Progress, 2018, 55(11): 113004
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