• Acta Optica Sinica
  • Vol. 41, Issue 6, 0633001 (2021)
Kun Yuan1、2、*, Shuanghu Gong1、2, Yang Zhang1、2, Mengdan Qin1、2, Jian Wang2, and Shang Tang2
Author Affiliations
  • 1College of Optical and Electronic Technology, China Jiliang University, Hangzhou, Zhejiang 310018, China
  • 2Hangzhou CHNSpec Technology Co., Ltd., Hangzhou, Zhejiang 310034, China
  • show less
    DOI: 10.3788/AOS202141.0633001 Cite this Article Set citation alerts
    Kun Yuan, Shuanghu Gong, Yang Zhang, Mengdan Qin, Jian Wang, Shang Tang. Measuring Device and Evaluation Method for Metallic Paints Graininess[J]. Acta Optica Sinica, 2021, 41(6): 0633001 Copy Citation Text show less
    Distribution of sample parameters. (a) Color distribution of samples; (b) graininess distribution of samples
    Fig. 1. Distribution of sample parameters. (a) Color distribution of samples; (b) graininess distribution of samples
    Structure diagram. (a) Integrating sphere; (b) schematic diagram of visual experiment
    Fig. 2. Structure diagram. (a) Integrating sphere; (b) schematic diagram of visual experiment
    Visual experimental conditions. (a) Sample placement; (b) visual experiment
    Fig. 3. Visual experimental conditions. (a) Sample placement; (b) visual experiment
    Comparison of BYKMac and visual experiment results
    Fig. 4. Comparison of BYKMac and visual experiment results
    Device diagram. (a) Schematic diagram of measuring device; (b) physical map of measuring device
    Fig. 5. Device diagram. (a) Schematic diagram of measuring device; (b) physical map of measuring device
    Matching results of experimental device and spectral luminous efficiency
    Fig. 6. Matching results of experimental device and spectral luminous efficiency
    Graininess pictures. (a) G=3; (b) G=6; (c) G=9
    Fig. 7. Graininess pictures. (a) G=3; (b) G=6; (c) G=9
    Comparison of various algorithm values and visual values. (a) GLCM:ENT; (b) GLCM:ASM; (c) GLCM:HOM; (d) GLCM:COR; (e) GLDS:ENT; (f) GLDS:MEAN; (g) GLDS:CON; (h) GLDS:ASM; (i) FD
    Fig. 8. Comparison of various algorithm values and visual values. (a) GLCM:ENT; (b) GLCM:ASM; (c) GLCM:HOM; (d) GLCM:COR; (e) GLDS:ENT; (f) GLDS:MEAN; (g) GLDS:CON; (h) GLDS:ASM; (i) FD
    Data comparison. (a) Comparison of variance calculation value with BYKMac values; (b) comparison of variance calculation values with visual experiment results
    Fig. 9. Data comparison. (a) Comparison of variance calculation value with BYKMac values; (b) comparison of variance calculation values with visual experiment results
    Data comparison. (a) Comparison of graininess evaluation model and BYKMac results; (b) comparison of graininess evaluation model and visual experiment results
    Fig. 10. Data comparison. (a) Comparison of graininess evaluation model and BYKMac results; (b) comparison of graininess evaluation model and visual experiment results
    MethodGLCM:ENTGLCM:ASMGLCM:HOMGLCM:CORGLDS:ENTGLDS:MEANGLDS:CONGLDS:ASMFD
    R20.69120.21260.37010.51230.12680.07670.08660.08010.0305
    Table 1. Evaluation method and fitting results
    Kun Yuan, Shuanghu Gong, Yang Zhang, Mengdan Qin, Jian Wang, Shang Tang. Measuring Device and Evaluation Method for Metallic Paints Graininess[J]. Acta Optica Sinica, 2021, 41(6): 0633001
    Download Citation