A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Automated Steel Bridge Coating Rust Defect Recognition Method Based on U-Net Fully Convolutional Networks
Nowadays, bridges are significant infrastructure in most countries, and it is crucial to come up with an effective corrosion detection method for steel bridge inspection. A crucial issue on rust recognition is to distinguish real rust corrosion spots and areas. A fully convolutional neural network, namely U-Net, is explored to develop an image semantic segmentation model, which provides a wide range of rust image recognition.
Automated Steel Bridge Coating Rust Defect Recognition Method Based on U-Net Fully Convolutional Networks
Nowadays, bridges are significant infrastructure in most countries, and it is crucial to come up with an effective corrosion detection method for steel bridge inspection. A crucial issue on rust recognition is to distinguish real rust corrosion spots and areas. A fully convolutional neural network, namely U-Net, is explored to develop an image semantic segmentation model, which provides a wide range of rust image recognition.
Automated Steel Bridge Coating Rust Defect Recognition Method Based on U-Net Fully Convolutional Networks
Huang, I-Feng (author) / Chen, Po-Han (author)
2020-12-25
2279708 byte
Conference paper
Electronic Resource
English
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