计算机应用与软件2024，Vol.41Issue(1)：105-111,176,8.DOI:10.3969/j.issn.1000-386x.2024.01.016
基于改进Mask R-CNN的受电弓碳滑板优化检测算法
CARBON PLATE OPTIMIZED DETECTION ALGORITHM OF PANTOGRAPH BASED ON IMPROVED MASK R-CNN
摘要
Abstract
In this paper,an optimized and improved algorithm based on Mask R-CNN is proposed to solve the shortcomings of traditional pantograph carbon slide detection,such as low detection efficiency and poor detection accuracy.The algorithm adopted the ministry of railways pantograph damage assessment of the new regulations and field of the sample data sets.By improving feature extraction algorithm of network structure and optimizing the loss value,the efficiency of the algorithm of image processing was improved,which realized the pantograph slide carbon defects mask label accurately and reduced the loss of the pantograph slide effects on electric locomotive running.Experimental results show that this algorithm can improve the detection accuracy and efficiency of pantograph carbon slide.关键词
改进MaskR-CNN/掩膜标注准确率/特征提取/损失值优化/受电弓检测Key words
Improved Mask R-CNN/Mask labeling accuracy/Feature extraction/Loss value optimization/Panto-graph detecting分类
信息技术与安全科学引用本文复制引用
韩璐,刘太豪,宋海亮,宋佳..基于改进Mask R-CNN的受电弓碳滑板优化检测算法[J].计算机应用与软件,2024,41(1):105-111,176,8.基金项目
国家自然科学基金项目(51607151). （51607151）
