安全、健康和环境2024，Vol.24Issue(4)：7-13,7.DOI:10.3969/j.issn.1672-7932.2024.04.002
基于图像的石化储罐罐顶锈迹识别算法
Image Based Algorithm for Identifying Rust on the Top of Petrochemical Storage Tanks
摘要
Abstract
The daily inspection work of large oil stor-age tank areas is heavy,and the UAV shooting can effectively cover the roof of the storage tank.To ad-dress the issue of tank top rust,the image data set of tank top was established,and the shape-based tank segmentation and block integrated rust recognition al-gorithm were developed.The experimental results showed that,①The shape oriented optimization strat-egy can guarantee more than 95%accuracy of tank top segmentation.②Block integration improved the accuracy of rust identification to more than 80%.③Compared with the deep network,the shallow net-work was more suitable for rust identification and tank top segmentation.The combination of edge feature optimization and block integration solved the problem that small target rust was difficult to recognize in the whole image,effectively improved the accuracy of rust recognition,and was suitable for practical appli-cation in the field of petrochemical storage tank rust recognition.关键词
石化储罐/锈迹识别/图像分割/边缘特征优化/分块集成/锈蚀评价Key words
petrochemical tank/rust identification/image segmentation/edge feature optimization/block integration/rust evaluation分类
能源科技引用本文复制引用
傅钰江,王若琳,隋顾磊,李雪,石磊,陈博..基于图像的石化储罐罐顶锈迹识别算法[J].安全、健康和环境,2024,24(4):7-13,7.基金项目
国家重点研发计划项目(2022YFB3305900),流程制造资源能源生产计划决策软件与工业应用. （2022YFB3305900）
