腐蚀
计算机科学
噪音(视频)
人工智能
图像处理
图像(数学)
计算机视觉
材料科学
冶金
作者
Qingcheng Chen,Xiang Wen,Shujie Lu,Dongxiao Sun
出处
期刊:IOP conference series
[IOP Publishing]
日期:2019-08-01
卷期号:608 (1): 012020-012020
被引量:8
标识
DOI:10.1088/1757-899x/608/1/012020
摘要
Abstract Large cranes and other outdoor large steel structures need to be checked regularly to ensure their safety, and corrosion detection is one of the most important inspection item. Traditional manual inspection has many disadvantages including high labour intensity, low efficiency and low detection accuracy. In this paper, a novel corrosion detection method based on UAV intelligent image recognition is proposed. The six-rotor UAV can collect the photos of the steel structure device safely and reliably. With the intelligent corrosion recognition algorithm proposed in this paper, infection such as background noise can be eliminated, and the corrosion area in the image can be identified automatically with high precision. A test device has been built and the results show that the device and method can identify the corrosion area effectively.
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