• Laser & Optoelectronics Progress
  • Vol. 58, Issue 24, 2410008 (2021)
Binbin Zhu* and Shaosheng Fan
Author Affiliations
  • Hunan Key Laboratory of Electric Power Robot, College of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha, Hunan 410114, China
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    DOI: 10.3788/LOP202158.2410008 Cite this Article Set citation alerts
    Binbin Zhu, Shaosheng Fan. Reading Method of Substation Pointer Meter in Rain-Fog Environment[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2410008 Copy Citation Text show less
    Flow chart of instrumental detection and reading recognition
    Fig. 1. Flow chart of instrumental detection and reading recognition
    Dehazing results under different D. (a) Hazy image; (b) image before mapping; (c) dehazing result under D=1.9; (d) dehazing result under D=2.3; (e) dehazing result under D=2.7
    Fig. 2. Dehazing results under different D. (a) Hazy image; (b) image before mapping; (c) dehazing result under D=1.9; (d) dehazing result under D=2.3; (e) dehazing result under D=2.7
    Structural diagrams of ResNet network. (a) Residual unit; (b) improved residual unit; (c) our deraining network
    Fig. 3. Structural diagrams of ResNet network. (a) Residual unit; (b) improved residual unit; (c) our deraining network
    Comparison of image pixel distributions. (a) Histogram of image; (b) histogram of detail layer
    Fig. 4. Comparison of image pixel distributions. (a) Histogram of image; (b) histogram of detail layer
    Extraction process of pointer. (a) Dial positioning; (b) dial correction and pointer extraction
    Fig. 5. Extraction process of pointer. (a) Dial positioning; (b) dial correction and pointer extraction
    Comparison of dehazing images. (a) Hazy images; (b) dehazing images using dark channel; (c) dehazing images using MSRCR; (d) our dehazing images
    Fig. 6. Comparison of dehazing images. (a) Hazy images; (b) dehazing images using dark channel; (c) dehazing images using MSRCR; (d) our dehazing images
    Contrast ofderaining images. (a)Rainy images; (b)deraining images without filter layer; (c) our deraining images
    Fig. 7. Contrast ofderaining images. (a)Rainy images; (b)deraining images without filter layer; (c) our deraining images
    Contrast of separation results of pointer area. (a1)(a2) Pointer area; (b1)(b2) adaptive Otsu algorithm; (c1)(c2) iterative threshold algorithm; (d1)(d2) our algorithm
    Fig. 8. Contrast of separation results of pointer area. (a1)(a2) Pointer area; (b1)(b2) adaptive Otsu algorithm; (c1)(c2) iterative threshold algorithm; (d1)(d2) our algorithm
    Image No.Hazy imageDark channel dehazing methodMSRCR dehazing methodOur dehazing method
    EntropyMSEEntropyMSEEntropyMSEEntropyMSE
    Image 16.74635612.09122111.94221114.041167
    Image 28.47501912.42211111.86218514.121812
    Image 310.21282812.38342311.69232613.842136
    Image 411.24225612.43390911.56288013.762474
    Table 1. Comparison of image entropy and MSE
    Method225 pixel×225 pixel415 pixel×415 pixel
    Dark channel dehazing method1.501.55
    MSRCR dehazing method2.202.11
    Our method1.021.02
    Table 2. Dehazing process time comparison of images unit: s
    Evaluating indicator (average)Rainy imageDeraining image without filter layerOur deraining image
    PSNR20.1330.1635.02
    SSIM0.580.890.93
    Table 3. Comparison of image PSNR and SSIM
    Manual recognition methodAdaptive Otsu algorithmOur methodError
    0.5°0.56°0.52°+0.02°
    6.0°6.30°6.23°+0.23°
    9.5°9.25°9.35°-0.15°
    26.5°26.75°26.0°-0.50°
    32.0°31.4°31.7°-0.30°
    Table 4. Angle recognition results of meter reading
    Binbin Zhu, Shaosheng Fan. Reading Method of Substation Pointer Meter in Rain-Fog Environment[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2410008
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