Quantifying the Texture of Coal Images with Different Lithotypes Through Gray-Level Co-Occurrence Matrix

Details

• Personal Author:
  Guner D ; Mohamed K ; Sherizadeh T ; Van Dyke M ; Xue Y
• Description:
  The Coal Pillar Rib Rating (CPRR) technique has been developed to assist in rib support design in underground coal mines. One major challenge of the data collection process is the measurement of coal strengths in the field. Schmidt hammer has been verified as a useful tool to determine coal strength. An alternative approach is to obtain the representative strength of coal mass by determining the coal lithotypes in the field based on the coal brightness profile by experienced geologists or mining engineers. In this paper, image processing techniques have been used to quantify the texture of coal images of different lithotypes with the purpose of classifying coal lithotypes. The coal images were collected from the pillar ribs with exposed surfaces in underground coal mines, and the coal lithotypes were identified when taking the images. The method of Gray-Level Co-Occurrence Matrix (GLCM) was used to analyze the textures of coal images of different lithotypes, and the texture parameters, such as contrast, homogeneity, energy, and entropy, were compared. The results show that the images of coal with different lithotypes have different textures, which can be quantified through the image processing. The results from this study demonstrate the potential of classifying coal lithotypes using rib photos and easing the data collection process of CPRR. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety
• Keywords:
  Coal Mines Geotechnical Engineering Imaging Techniques Mining Industry Pillar Mechanics Underground Mines
• Series:
  Mining Publications
• Publisher:
  Society for Mining, Metallurgy & Exploration (SME)
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  Missouri ; OSHA Region 3 ; OSHA Region 7 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PMRD - Pittsburgh Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-12
• NIOSHTIC Number:
  nn:20069458
• Citation:
  MineXchange: 2024 SME Annual Conference & Expo, February 25-28, 2024, Phoenix, Arizona, preprint 24-077. Englewood, CO: Society for Mining, Metallurgy & Exploration, 2024 Feb; :1-12
• Federal Fiscal Year:
  2024
• NORA Priority Area:
  Mining
• Peer Reviewed:
  False
• Source Full Name:
  MineXchange: 2024 SME Annual Conference & Expo, February 25-28, 2024, Phoenix, Arizona, preprint 24-077
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:7c6b5fcbc024530c86bae2c82b409a6e6b5d5c8b2fd6d2ad98dd8c9fc937d41e77f02a93b48541bbbe7bc1f3371732b28a71ea02dcca6b6be0c27281b5a06b44
• Download URL:
  https://stacks.cdc.gov/view/cdc/215685/cdc_215685_DS1.pdf
• File Type:
  [PDF - 1.95 MB ]