基于自适应编辑距离的颜料光谱匹配识别方法 下载: 972次
Pigment Spectral Matching Recognition Method Based on Adaptive Edit Distance
1 西安建筑科技大学管理学院, 陕西 西安 710055
2 西安建筑科技大学信息与控制工程学院, 陕西 西安 710055
图 & 表
图 1. 匹配关系矩阵D
Fig. 1. Matching relationship matrix D
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图 2. 不同采集条件下同种颜料的光谱反射率曲线
Fig. 2. Spectral reflectance curves of same pigment under different collection conditions
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图 3. 颜料样本示例
Fig. 3. Pigment samples
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图 4. 15种颜料的光谱反射率曲线
Fig. 4. Spectral reflectance curves of fifteen kinds of pigments
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图 5. 不同红色颜料的光谱反射率
Fig. 5. Spectral reflectance of different red pigments
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表 1ED算法的匹配结果
Table1. Matching results of ED algorithm
Sampledata | Testdata | Samplingpoint number | ed |
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R1 | R2 | 662 | 186 | R1 | R3 | 662 | 119 |
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表 2ED算法和ATED算法的匹配结果
Table2. Matching results using ED algorithm and ATED algorithm
Sample data | Algorithm | Test data | Sampling point number | ed | Matching rate /% |
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R1 | ED | R2 | 662 | 186 | 71.98 | R1 | | R3 | | 119 | 82.15 | R1 | ATED | R2 | 662 | 43 | 93.51 | R1 | | R3 | | 22 | 96.67 |
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表 3不同光谱采样分辨率下ATED算法的匹配精度
Table3. Matching accuracy of ATED algorithm at different spectral resolutions
Sample data | Test data | Sampling point number | ed | Matching rate /% |
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R1 | R2 | 331 | 22 | 93.35 | R1 | R3 | | 11 | 96.67 | R1 | R2 | 166 | 11 | 93.37 | R1 | R3 | | 6 | 96.39 | R1 | R2 | 83 | 6 | 92.77 | R1 | R3 | | 3 | 96.39 | R1 | R2 | 42 | 3 | 92.86 | R1 | R3 | | 2 | 95.24 |
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表 44种算法光谱匹配结果
Table4. Spectral matching results of four kinds of algorithms
Sample pigment | Test pigment | Matching ratio /% |
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SAM | SCF | SID | ATED |
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Malachite | Malachite | 94.98 | 97.63 | 97.78 | 99.13 | Azurite | Azurite | 96.87 | 97.74 | 97.95 | 99.36 | Minium | Minium | 95.38 | 95.35 | 96.85 | 100.00 | Clammeal | Clammeal | 97.33 | 96.43 | 96.38 | 99.15 | Dahong | Dahong | 95.36 | 95.34 | 98.24 | 98.95 | Indigo | Indigo | 96.35 | 98.46 | 96.13 | 99.33 | Blush | Blush | 95.11 | 97.58 | 97.34 | 98.86 | Gamboge | Gamboge | 96.35 | 96.37 | 96.37 | 99.26 | Azure | Azure | 97.51 | 97.56 | 97.28 | 98.67 | Madder | Madder | 96.23 | 96.23 | 96.74 | 100.00 | Hematite | Hematite | 95.24 | 96.34 | 98.16 | 99.84 | Cinnabar | Cinnabar | 97.43 | 97.56 | 97.68 | 98.17 |
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表 5待测颜料大红的匹配结果
Table5. Matching results of test pigment dahong
Samplepigment | SAM algorithm | SCF algorithm | SID algorithm | ATED algorithm |
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Matchingrate /% | Result | Matchingrate /% | Result | Matchingrate /% | Result | Matchingrate /% | Result |
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Minium | 89.41 | | 94.75 | | 97.27 | | 91.54 | | Dahong | 92.06 | | 97.62 | | 98.52 | | 100.00 | | Blush | 92.56 | Blush | 98.43 | Blush | 98.39 | Dahong | 96.98 | Dahong | Madder | 86.59 | | 94.66 | | 96.04 | | 86.40 | | Hematite | 88.70 | | 97.37 | | 95.76 | | 96.07 | | Hematite | 89.41 | | 93.48 | | 96.55 | | 95.02 | |
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表 6待测颜料赭石的匹配结果
Table6. Matching results of test pigment hematite
Samplepigment | SAM algorithm | SCF algorithm | SID algorithm | ATED algorithm |
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Matchingrate /% | Result | Matchingrate /% | Result | Matchingrate /% | Result | Matchingrate /% | Result |
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Minium | 92.79 | | 96.34 | | 93.64 | | 94.34 | | Dahong | 88.16 | | 97.24 | | 95.12 | | 95.15 | | Blush | 83.80 | Cinnabar | 95.17 | Hematite | 94.31 | Madder | 96.21 | Hematite | Madder | 86.75 | | 94.58 | | 97.95 | | 94.36 | | Hematite | 94.05 | | 98.55 | | 92.35 | | 99.18 | | Cinnabar | 96.13 | | 96.12 | | 95.45 | | 96.38 | |
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表 7待测颜料曙红的匹配结果
Table7. Matching results of test pigment blush
Samplepigment | SAM algorithm | SCF algorithm | SID algorithm | ATED algorithm |
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Matchingrate /% | Result | Matchingrate /% | Result | Matchingrate /% | Result | Matchingrate /% | Result |
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Minium | 93.26 | | 93.82 | | 93.78 | | 96.42 | | Dahong | 95.42 | | 95.43 | | 98.14 | | 98.31 | | Blush | 92.18 | Dahong | 96.13 | Cinnabar | 96.45 | Dahong | 99.75 | Blush | Madder | 93.33 | | 96.07 | | 95.23 | | 97.23 | | Hematite | 90.24 | | 95.39 | | 93.28 | | 95.13 | | Cinnabar | 91.12 | | 97.48 | | 97.35 | | 96.14 | |
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王可, 王慧琴, 殷颖, 毛力, 张毅. 基于自适应编辑距离的颜料光谱匹配识别方法[J]. 激光与光电子学进展, 2018, 55(11): 113004. 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.