• Laser & Optoelectronics Progress
  • Vol. 59, Issue 2, 0212002 (2022)
Chao Feng, Yi Jiang*, and Xiaomeng Zhao
Author Affiliations
  • Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment & Technology, School of Mechanical Engineering, Jiangnan University, Wuxi , Jiangsu 214122, China
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    DOI: 10.3788/LOP202259.0212002 Cite this Article Set citation alerts
    Chao Feng, Yi Jiang, Xiaomeng Zhao. Micro Defect Detection of Steel Ball Surface Based on Spatial Omni-Directional Light Source[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0212002 Copy Citation Text show less
    Illumination diagrams. (a) (b) Plane illumination diagrams; (c) (d) spherical illumination diagrams
    Fig. 1. Illumination diagrams. (a) (b) Plane illumination diagrams; (c) (d) spherical illumination diagrams
    Schematic diagram of steel ball surface area division
    Fig. 2. Schematic diagram of steel ball surface area division
    Highlight of same scratch defect by different lighting. (a) Effect of regional lighting; (b) effect of strip lighting
    Fig. 3. Highlight of same scratch defect by different lighting. (a) Effect of regional lighting; (b) effect of strip lighting
    Spatial omni-directional light source model
    Fig. 4. Spatial omni-directional light source model
    Image processing. (a) Filtering and noise reduction; (b) image segmentation; (c) image difference (reverse color); (d) image fusion (reverse color); (e) defect extraction (reverse color); (f) defect classification
    Fig. 5. Image processing. (a) Filtering and noise reduction; (b) image segmentation; (c) image difference (reverse color); (d) image fusion (reverse color); (e) defect extraction (reverse color); (f) defect classification
    Detection system and target detection steel ball. (a) Detection system; (b) target detection steel ball
    Fig. 6. Detection system and target detection steel ball. (a) Detection system; (b) target detection steel ball
    Annular lighting scheme and regional lighting scheme. (a) Example of annular lighting scheme; (b) example of regional lighting scheme
    Fig. 7. Annular lighting scheme and regional lighting scheme. (a) Example of annular lighting scheme; (b) example of regional lighting scheme
    Schematic diagram of illumination area of annular scanning illumination
    Fig. 8. Schematic diagram of illumination area of annular scanning illumination
    Schematic diagram of effective detection area overlay
    Fig. 9. Schematic diagram of effective detection area overlay
    Influence of noise segmentation threshold Td on defect extraction. (a) Td=10; (b) Td=50; (c) Td=30
    Fig. 10. Influence of noise segmentation threshold Td on defect extraction. (a) Td=10; (b) Td=50; (c) Td=30
    Result of grid search optimal double threshold
    Fig. 11. Result of grid search optimal double threshold
    Detection results of micro defects on surface of steel balls. (a) (e) Shallow scratch defect; (b) (f) pit defect; (c) (g) striation defect; (d) (h) spot defect
    Fig. 12. Detection results of micro defects on surface of steel balls. (a) (e) Shallow scratch defect; (b) (f) pit defect; (c) (g) striation defect; (d) (h) spot defect
    Comparison of defect detection effects in different positions of same defect. (a)-(c) Position 1;(d)-(f) position 2
    Fig. 13. Comparison of defect detection effects in different positions of same defect. (a)-(c) Position 1;(d)-(f) position 2
    Comparison of defect highlighting ability between annular lighting and regional lighting. (a) Illumination experiment of same micro striation; (b) illumination experiment of same micro scratch
    Fig. 14. Comparison of defect highlighting ability between annular lighting and regional lighting. (a) Illumination experiment of same micro striation; (b) illumination experiment of same micro scratch
    Schematic diagram of illuminated area after lighting scheme optimization
    Fig. 15. Schematic diagram of illuminated area after lighting scheme optimization
    Comparison of same defect extraction effects before and after lighting scheme optimization. (a) Defect image information; (b) extraction effect before optimization; (c) extraction effect after optimization
    Fig. 16. Comparison of same defect extraction effects before and after lighting scheme optimization. (a) Defect image information; (b) extraction effect before optimization; (c) extraction effect after optimization
    Layer No.Number of LED unitsα /(°)β /(°)
    1427.92988.5714
    24016.13699.0000
    33824.34399.4737
    43532.550910.2857
    53240.757911.2500
    62848.964912.8571
    72357.171915.6522
    81865.379020
    91273.586030
    Table 1. Spherical distribution parameters of LED unit
    Image acquisition parameterValue
    LED unit power /W2
    Pixel resolution /(μm⋅pixel-18
    Exposure time /ms80
    Image gain /dB3
    Table 2. Image acquisition parameter table
    Chao Feng, Yi Jiang, Xiaomeng Zhao. Micro Defect Detection of Steel Ball Surface Based on Spatial Omni-Directional Light Source[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0212002
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