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Spectroscopy and Spectral Analysis, Volume. 42, Issue 11, 3568(2022)

Soybean Canopy Extraction Method Based on Multispectral Image Processing

Shi-jiao GAO1、*, Hai-ou GUAN1、1; *;, Xiao-dan MA1、1;, and Yan-hong WANG2、2;
Author Affiliations
  • 11. College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
  • 22. College of Horticulture and Landscape Architecture, Heilongjiang Bayi Agricultural University, Daqing 163319, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (8)
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    Figures & Tables(8)
    Original images of soybean(a): GRE; (b): NIR; (c): RED; (d): REG; (e): RGB

    Fig. 1. Original images of soybean
    (a): GRE; (b): NIR; (c): RED; (d): REG; (e): RGB

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    Comparison of filtering effects of multi-spectral images(a1): GRE; (a2): NIR; (a3): RED; (a4): REG; (a5): RGB;(b1): GRE; (b2): NIR; (b3): RED; (b4): REG; (b5): RGB

    Fig. 2. Comparison of filtering effects of multi-spectral images
    (a1): GRE; (a2): NIR; (a3): RED; (a4): REG; (a5): RGB;(b1): GRE; (b2): NIR; (b3): RED; (b4): REG; (b5): RGB

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    Multispectral images of soybean canopy with iteration method(a1): GRE; (a2): NIR; (a3): RED; (a4): REG; (a5): RGB;(b1): GRE; (b2): NIR; (b3): RED; (b4): REG; (b5): RGB

    Fig. 3. Multispectral images of soybean canopy with iteration method
    (a1): GRE; (a2): NIR; (a3): RED; (a4): REG; (a5): RGB;(b1): GRE; (b2): NIR; (b3): RED; (b4): REG; (b5): RGB

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    Multispectral images of soybean canopy by Otsu method(a1): GRE; (a2): NIR; (a3): RED; (a4): REG; (a5): RGB;(b1): GRE; (b2): NIR; (b3): RED; (b4): REG; (b5): RGB

    Fig. 4. Multispectral images of soybean canopy by Otsu method
    (a1): GRE; (a2): NIR; (a3): RED; (a4): REG; (a5): RGB;(b1): GRE; (b2): NIR; (b3): RED; (b4): REG; (b5): RGB

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    Multispectral images of soybean canopy by local threshold method(a1): GRE; (a2): NIR; (a3): RED; (a4): REG; (a5): RGB;(b1): GRE; (b2): NIR; (b3): RED; (b4): REG; (b5): RGB

    Fig. 5. Multispectral images of soybean canopy by local threshold method
    (a1): GRE; (a2): NIR; (a3): RED; (a4): REG; (a5): RGB;(b1): GRE; (b2): NIR; (b3): RED; (b4): REG; (b5): RGB

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    Entropy statistics of segmented images

    Fig. 6. Entropy statistics of segmented images

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    • Table 1. Multispectral image preprocessing evaluation index

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      Table 1. Multispectral image preprocessing evaluation index

      函数指标
      PSNRSSIM
      GRENIRREDREGRGBGRENIRREDREGRGB
      均值滤波34.71833.35430.03140.62137.0680.9350.9370.8480.9610.970
      高斯滤波36.18134.85731.40241.99138.6380.9510.9510.8890.9700.978

    • Table 2. Comparison of evaluation indexes of different segmentation algorithms

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      Table 2. Comparison of evaluation indexes of different segmentation algorithms

      图像类型分割算法
      迭代法Otsu法局部阈值法
      有效分割过分割欠分割有效分割过分割欠分割有效分割过分割欠分割
      GRE0.568 60.533 80.284 70.871 40.222 90.191 20.870 60.227 70.206 7
      NIR0.978 10.113 70.136 10.944 00.116 80.135 30.987 50.079 10.202 4
      RED0.052 40.967 10.288 20.130 10.913 20.142 30.167 50.885 80.123 6
      REG0.691 60.366 80.229 20.975 50.094 40.227 00.981 50.090 50.227 3
      RGB0.879 90.202 20.632 50.828 10.270 40.456 40.859 80.228 70.505 0
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    Shi-jiao GAO, Hai-ou GUAN, Xiao-dan MA, Yan-hong WANG. Soybean Canopy Extraction Method Based on Multispectral Image Processing[J]. Spectroscopy and Spectral Analysis, 2022, 42(11): 3568

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    Paper Information

    Category: Research Articles

    Received: Mar. 25, 2021

    Accepted: --

    Published Online: Nov. 23, 2022

    The Author Email: GAO Shi-jiao (bynd_gsj@163.com)

    DOI:10.3964/j.issn.1000-0593(2022)11-3568-07

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology