【摘要】 为了进一步探讨煤矿井下图像增强技术的应用与研究，通过文献计量分析方法，以中国知网（CNKI）数据库收录的2001—2023年煤矿井下图像增强技术为主题的文献作为研究对象，借助CiteSpace软件绘制出发文量、作者与研究机构、关键词聚类等知识图谱，对我国煤矿井下图像增强技术的应用发展状况进行可视化分析。结合相关知识图谱，对现有的煤矿井下图像增强算法进行分类，详细分析了每一类算法的应用范围与优缺点等，并梳理总结了当前该领域的研究动态与发展趋势。以上研究结果揭示了煤矿井下图像增强技术应用研究的发展进程、知识基础、热点及前沿趋势等，为后续该受限条件下图像增强技术的相关研究提供了科学参考。更多还原

【Abstract】 In order to further explore the application and research of image enhancement technology in underground coal mines, through the bibliometric analysis method, the literature on image enhancement technology in underground coal mines from 2001 to 2023 included in the China National Knowledge Infrastructure(CNKI) database is taken as the research object, and the knowledge graph of the number of articles, authors and research institutions, and keyword clustering is drawn with the help of CiteSpace software, so as to visually analyze the application and development of image enhancement technology in underground coal mines in China. Combined with the relevant knowledge graph, this paper classifies the existing image enhancement algorithms in coal mines, analyzes the application scope, advantages and disadvantages of each type of algorithm in detail, and summarizes the current research and development trends in this field. The above research results reveal the development process, knowledge base, hot spots, and frontier trends of the application of image enhancement technology in underground coal mines, and provide a scientific reference for the subsequent research on image enhancement technology under the restricted conditions.更多还原