• Laser & Optoelectronics Progress
  • Vol. 60, Issue 2, 0210002 (2023)
Shaochen Li1、2、3, Aiwu Zhang1、2、3、*, Xizhen Zhang1、2、3, Zhiqiang Yang1、2、3, and Mengnan Li1、2、3
Author Affiliations
  • 1College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
  • 2Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China
  • 3Engineering Research Center of Spatial Information Technology, Ministry of Education, Capital Normal University, Beijing 100048, China
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    DOI: 10.3788/LOP212702 Cite this Article Set citation alerts
    Shaochen Li, Aiwu Zhang, Xizhen Zhang, Zhiqiang Yang, Mengnan Li. 3D Phenotypic Information Extraction Method of Maize Seedlings at Leaf Scale[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0210002 Copy Citation Text show less
    Parts of original mobile phone images
    Fig. 1. Parts of original mobile phone images
    Location of mobile phone camera
    Fig. 2. Location of mobile phone camera
    Experimental process
    Fig. 3. Experimental process
    Extraction process of maize seedlings. (a) ExGR index extraction; (b) through filtering; (c) conditional Euclidean clustering; (d) extracted single seedlings
    Fig. 4. Extraction process of maize seedlings. (a) ExGR index extraction; (b) through filtering; (c) conditional Euclidean clustering; (d) extracted single seedlings
    Flowchart of regional growth algorithm based on curvature
    Fig. 5. Flowchart of regional growth algorithm based on curvature
    Result of leaf segmentation of maize seedlings
    Fig. 6. Result of leaf segmentation of maize seedlings
    Three-dimensional volume visualization of plant. (a) Convex hull volume; (b) voxelization volume
    Fig. 7. Three-dimensional volume visualization of plant. (a) Convex hull volume; (b) voxelization volume
    Comparison of true values and calculated values of maize seedlings' phenotypic information. (a) Plant height; (b) leaf area; (c) leaf circumference
    Fig. 8. Comparison of true values and calculated values of maize seedlings' phenotypic information. (a) Plant height; (b) leaf area; (c) leaf circumference
    Fingerprint of phenotypic changes
    Fig. 9. Fingerprint of phenotypic changes
    Vegetation indexFormula
    ExG29IExG=2grb
    ExR30IExR=1.4rg
    ExGR30IExGR=IExGIExR
    NGRDI31INGRDI=(GR)/(G+R
    CIVE31ICIVE=0.44R-0.88G+0.39B+18.79
    Table 1. Common vegetation index
    MethodPlant heightLeaf areaLeaf circumference
    RMSE /cmMAPE /%RMSE /cm2MAPE /%R2
    Image 3D-reconstruction0.773.231.628.270.9880
    Terrestrial laser scanning1.300.6112.692.38
    Depth camera1.86
    Image 2D0.9848
    Table 2. Comparison of multi-source data results
    Shaochen Li, Aiwu Zhang, Xizhen Zhang, Zhiqiang Yang, Mengnan Li. 3D Phenotypic Information Extraction Method of Maize Seedlings at Leaf Scale[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0210002
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