Image Based Algorithm for Identifying Rust on the Top of Petrochemical Storage Tanks
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.
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