• Laser & Optoelectronics Progress
  • Vol. 58, Issue 8, 0810009 (2021)
Lili Shang1, Huiqin Wang1、*, Ke Wang1, and Zhan Wang2
Author Affiliations
  • 1School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
  • 2Shaanxi Institute for the Preservation of Culture Heritage, Xi'an, Shaanxi 710075, China
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    DOI: 10.3788/LOP202158.0810009 Cite this Article Set citation alerts
    Lili Shang, Huiqin Wang, Ke Wang, Zhan Wang. Multi-Measure Similarity Method for Interpreting Bronze Inscriptions Based on Hu Moment and TF-KSURF[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810009 Copy Citation Text show less
    Schematic of the proposed method
    Fig. 1. Schematic of the proposed method
    Contrast of inscriptions before and after NLM filtering
    Fig. 2. Contrast of inscriptions before and after NLM filtering
    Inscription images
    Fig. 3. Inscription images
    Different variant images of the same type of inscriptions
    Fig. 4. Different variant images of the same type of inscriptions
    Flowchart of TF-KSURF algorithm
    Fig. 5. Flowchart of TF-KSURF algorithm
    Influence of 7 Hu moments on matching rate
    Fig. 6. Influence of 7 Hu moments on matching rate
    Influence of different TF-KSURF weights on recognition rate of inscriptions
    Fig. 7. Influence of different TF-KSURF weights on recognition rate of inscriptions
    Part images in dataset
    Fig. 8. Part images in dataset
    Retrieval samples
    Fig. 9. Retrieval samples
    MR curves of different measures
    Fig. 10. MR curves of different measures
    NP curves of different measures
    Fig. 11. NP curves of different measures
    MeasureAverage recognition rate /%
    SURF50.82
    TF-KSURF63.04
    Table 1. Average recognition rate of two feature measures
    CategoryMeasure in Ref.[5]SURFHu momentProposed method
    RM /%RNPRM /%RNPRM /%RNPRM /%RNP
    Class 160.90.3158.80.3261.70.4273.50.57
    Class 275.60.5276.50.4788.20.311000.68
    Class 384.60.4092.60.3285.20.3996.20.60
    Class 473.10.3873.10.4875.60.3485.40.61
    Class 595.50.5195.50.4595.50.401000.69
    Class 688.60.4283.30.3390.50.4492.90.59
    Class 792.90.3194.70.3194.70.4294.70.63
    Class 888.20.3991.70.4091.70.551000.71
    Class 991.40.3885.70.3988.60.3591.40.53
    Class 1084.60.3576.90.3284.60.3492.30.49
    Table 2. Retrieval performance comparison of different methods
    MeasureAverage running time /s
    SURF5.0230
    TF-KSURF3.5395
    Hu moment2.1013
    Measure in Ref.[5]7.8857
    Proposed method3.9321
    Table 3. Comparison of running time of different measures
    Lili Shang, Huiqin Wang, Ke Wang, Zhan Wang. Multi-Measure Similarity Method for Interpreting Bronze Inscriptions Based on Hu Moment and TF-KSURF[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810009
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