Acta Optica Sinica, Volume. 44, Issue 21, 2115001(2024)

Feature Extraction and Recognition Method of Coal and Gangue Based on Laser Speckle Imaging

Hequn Li*, Yufei Zheng, Hanxi Yang, Yun Liu, and Mingxing Jiao
Author Affiliations
  • School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, Shaanxi , China
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    Figures & Tables(10)
    Coal and gangue laser speckle imaging system
    Coal and gangue laser speckle images and grayscale 3D surfaces. (a) Laser speckle image of coal; (b) laser speckle image of gangue; (c) grayscale 3D surface of coal laser speckle image; (d) grayscale 3D surface of gangue laser speckle image
    Three channel component diagrams in Lab space. (a) a channel; (b) b channel; (c) L channel
    Segmentation process. (a) a channel image; (b) binary image; (c) morphological operation; (d) mask image
    Area of interest
    Texture features of gray-level size zone matrix. (a) Zonal correlation; (b) entropy of neighborhood gray-level; (c) big area emphasis; (d) small area emphasis; (e) gray level non-uniformity; (f) size-zone non-uniformity; (g) speckle areal ratio
    Texture features of gray-level co-occurrence matrix. (a) Angular second moment; (b) entropy; (c)contrast ratio; (d)inverse distance difference
    Gray features of laser speckle images. (a) Mean; (b) standard deviation; (c) skewness; (d) kurtosis
    Recognition accuracy of scattered and natural light images under different illumination levels
    • Table 1. Classification results for different characteristics

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      Table 1. Classification results for different characteristics

      CharacteristicAccuracy /%Precision rate /%Recall rate /%
      Gray93.191.994.4
      GLCM94.494.694.6
      GLSZM91.789.789.7
      Gray+GLCM95.894.697.2
      Gray+GLCM+GLSZM98.697.3100.0
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    Hequn Li, Yufei Zheng, Hanxi Yang, Yun Liu, Mingxing Jiao. Feature Extraction and Recognition Method of Coal and Gangue Based on Laser Speckle Imaging[J]. Acta Optica Sinica, 2024, 44(21): 2115001

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    Paper Information

    Category: Machine Vision

    Received: May. 7, 2024

    Accepted: Jun. 19, 2024

    Published Online: Nov. 19, 2024

    The Author Email: Li Hequn (lhq@xaut.edu.cn)

    DOI:10.3788/AOS240970

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