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.
作者
乔佳伟
贾运红
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)
出处
《煤炭技术》
CAS
北大核心
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)。
