摘要
煤矿井下图像增强作为煤矿井下目标检测和识别的重要先决条件,一直受到研究者的关注。通过阐述多种图像增强算法的基本原理,对煤矿井下逆光源和顺光源图像进行了增强处理,用于提升图像的清晰度、对比度和可视性。通过6种图像质量评价方法对增强后的图像质量进行评价,分析了各个图像增强算法的优异性。
As an important prerequisite for the target detection and recognition in the underground coal mine,the image enhancement of underground coal mine has always been the focus for researchers.In this paper,by describing the basic principles of various image enhancement algorithms,the image of the backlighting source and the frontlighting source in the underground coal mine were enhanced,and the clarity,contrast and visibility of the image were improved.Then,the enhanced image quality was analyzed by six image quality evaluation methods,and the superiority of each image enhancement algorithm was obtained.
作者
郭永辉
GUO Yonghui(CCTEG Taiyuan Research Institute Co.,Ltd.,Taiyuan 030006,Shanxi,China;Shanxi Tiandi Coal Mining Machinery Co.,Ltd.,Taiyuan 030006,Shanxi,China;China National Engineering Laboratory for Coal Mining Machinery,Taiyuan 030006,Shanxi,China)
出处
《矿山机械》
2024年第6期53-57,共5页
Mining & Processing Equipment
基金
山西省重点研发计划项目(202102100401014)。
