1. 江西理工大学机电工程学院
2. 江西理工大学江西省矿冶机电工程技术研究中心
纸质出版:2025
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曾庆文, 罗小燕, 易国涛. 基于RBCB-YOLO网络的皮带上矿石识别方法[J]. 传感器与微系统, 2025,(5):66-70.
曾庆文, 罗小燕, 易国涛. 基于RBCB-YOLO网络的皮带上矿石识别方法[J]. 传感器与微系统, 2025,(5):66-70. DOI: 10.13873/J.1000-9787(2025)05-0066-05.
针对运矿皮带上矿石颗粒形状大小不一、多数呈堆叠状态,采用传统的目标检测算法存在的识别难度大、准确率不高、易出现错检等问题,提出了一种RBCB-YOLO深度学习网络对矿石目标识别的方法。在YOLOv8 Backbone中添加卷积注意力模块(ResBlock_CBAM)并将CIoU Loss替换成WIoU Loss作为算法的边框损失函数,进而提高对矿石目标的识别准确率。首先引入ResBlock_CBAM注意力对矿石目标特征给予更多的关注,其次为更准确衡量重叠矿石目标预测框和真实框之间的相似程度,提升小边界框的权重,引入WIoU Loss损失函数。采用马赛克(Mosaic)数据增强方法扩充数据集提升模型的性能。结果表明,ResBlock_CBAM-YOLOv8网络模型与原模型对比,准确率提升4.5%
检测精度提升0.6%
平均精度均值(mAP)提升0.53%。验证了改进算法的识别效果更佳。
陈德海,曹永康,邵恒,杨程,邱福亮.基于新型指数趋近律的PMSM滑模控制研究[J].传感器与微系统,2023(10).
袁红春,陶磊.基于改进的Yolov8商业渔船电子监控数据中鱼类的检测与识别[J].大连海洋大学学报,2023(03).
齐向明,柴蕊,高一萌.重构SPPCSPC与优化下采样的小目标检测算法[J].计算机工程与应用,2023(20).
张俊宁,毕泽洋,闫英,王鹏程,侯冲,吕树盛.基于注意力机制与改进YOLO的温室番茄快速识别[J].农业机械学报,2023(05).
刘雄彪,杨贤昭,陈洋,赵帅通.基于CIoU改进边界框损失函数的目标检测方法[J].液晶与显示,2023(05).
梁礼明,朱晨锟,何安军.多层次特征融合低照度图像增强算法[J].无线电工程,2023(04).
Hu Haigang,Tang Chao,Shi Ce,Qian Yunxia.Detection of residual feed in aquaculture using YOLO and Mask RCNN[J].Aquacultural Engineering,2023.
Zhang Shanwen,Zhang Chuanlei.Modified U-Net for plant diseased leaf image segmentation[J].Computers and Electronics in Agriculture,2023.
Ruan Shunling,Liu Danyang,Gu Qinghua,Jing Ying.An Intelligent Detection Method for Open-Pit Slope Fracture Based on the Improved Mask R-CNN[J].Journal of Mining Science,2022.
Yang Ai-min,Jiang Tian-yu,Han Yang,Li Jie,Li Yi-fan,Liu Chun-yu.Research on application of on-line melting in-situ visual inspection of iron ore powder based on Faster R-CNN[J].Alexandria Engineering Journal,2022.
Mittal Usha,Chawla Priyanka,Tiwari Rajeev.EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models[J].Neural Computing and Applications,2022.
Yu Longzhen,Zhu Jianhua,Zhao Qian,Wang Zhixian.An Efficient YOLO Algorithm with an Attention Mechanism for Vision-Based Defect Inspection Deployed on FPGA[J].Micromachines,2022.
Jian Bo lin,Hung Jui Pin,Wang Cheng Chi,Liu Chun Chang.Deep Learning Model for Determining Defects of Vision Inspection Machine Using Only a Few Samples[J].SENSORS AND MATERIALS,2020.
Lv Jianming,Sun Qinghui,Li Qing,Moreira Matias Luis.Multi-Scale and Multi-Scope Convolutional Neural Networks for Destination Prediction of Trajectories[J].IEEE Transactions on Intelligent Transportation Systems,2019.
Alex Krizhevsky.One weird trick for parallelizing convolutional neural networks.[J].CoRR,2014.
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