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Visual Analysis of Image Processing in the Mining Field Based on a Knowledge Map

Author

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  • Shifan Qin

    (Mining Institute, Guizhou University, Guiyang 550025, China
    National and Local Joint Engineering Laboratory for Efficient Utilization of Excellent Mineral Resources, Guiyang 550025, China
    Key Laboratory of Comprehensive Utilization of Non-Metallic Mineral Resources in Guizhou Province, Guiyang 550025, China)

  • Longjiang Li

    (Mining Institute, Guizhou University, Guiyang 550025, China
    National and Local Joint Engineering Laboratory for Efficient Utilization of Excellent Mineral Resources, Guiyang 550025, China
    Key Laboratory of Comprehensive Utilization of Non-Metallic Mineral Resources in Guizhou Province, Guiyang 550025, China)

Abstract

In machine vision–based image processing, machine vision products are used to convert the image of an object into image signals and then into digital signals for subsequent processing on a computer. Image processing is widely applicable in research fields such as biomedicine, remote sensing, industrial production, military production, and aerospace. This paper provides a detailed overview of the research status of image processing in the mining field and makes a comparative evaluation of some technologies and research directions. First, the application of image processing in the mining field is discussed in detail in the paper. Second, a literature review is conducted, using keywords and citation counts to determine the overall distribution of the published literature on this subject in terms of journals, countries, institutes, and authors. Finally, we analyze this topic in detail, put forward our ideas and what we learned from our analysis, and provide a summary. The analysis shows that image-processing technology is a hot research topic for future development. In addition, this paper proposes future research challenges and directions. The latest progress, development characteristics, and research prospects discussed in this paper will provide a useful reference for scholars who deeply study image processing in the field of mining.

Suggested Citation

  • Shifan Qin & Longjiang Li, 2023. "Visual Analysis of Image Processing in the Mining Field Based on a Knowledge Map," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:1810-:d:1039155
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    References listed on IDEAS

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    3. Heather Piwowar, 2013. "Value all research products," Nature, Nature, vol. 493(7431), pages 159-159, January.
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