Retinex算法在煤矿井下图像增强的应用研究  

Research on Application of Retinex Algorithm in Image Enhancement in Coal Mine

作　　者：乔佳伟 贾运红[1,2,3,4] QIAO Jia-wei;JIA Yunhong(China Coal Research Institute,Beijing 100013,China;School of Mechatronics and Information Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China;China Coal Technology and Engineering Group Taiyuan Research Institute Co.,Ltd.,Taiyuan 030006,China;National Engineering Laboratory of Coal Mining Machinery and Equipment,Taiyuan 030006,China)

机构地区：[1]煤炭科学研究总院,北京100013 [2]中国矿业大学(北京)机电与信息工程学院,北京100083 [3]中国煤炭科工集团太原研究院有限公司,太原030006 [4]煤矿采掘机械装备国家工程实验室,太原030006

出　　处：《煤炭技术》2022年第3期193-195,共3页Coal Technology

基　　金：山西省重点研发计划项目(201903D121076);研究生教育基金(M2020-JY03);天地科技股份有限公司重点项目(2020-TD-ZD009)。

摘　　要：由于煤矿井下存在大量粉尘及光照强度不足,造成采集的图像不清晰、对比度不足、细节信息无法展现等问题,严重影响图像的观测效果及信息提取。Retinex算法作为一种颜色恒常性模型,在处理图像模糊、光照不足方面有很好的效果及广泛的应用。根据当前Retinex算法的研究现状,总结分析了目前Retinex算法应用于煤矿井下图像增强的研究,分析了每种算法的优缺点并提出了展望。Due to the large amount of dust and insufficient light intensity in the coal mine, the collected images are not clear, the contrast is insufficient, and the detailed information cannot be displayed, which seriously affects the image observation effect and information extraction. As a color constancy model,the Retinex algorithm has a good effect and a wide range of applications in dealing with image blur,insufficient lighting, and so on. Based on the current research status of the Retinex algorithm, summarizes and analyzes the current research on the application of the Retinex algorithm to image enhancement in coal mines, analyzes the advantages and disadvantages of each algorithm, and proposes a prospect.

关 键 词：RETINEX算法 煤矿井下图像 图像增强 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]