Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Method for Identifying Cracks In Mass Concrete of Bridge Engineering based on Image Processing
Due to the influence of the initial video image quality of concrete cracks, there are obvious identification errors in traditional bridge engineering mass concrete crack identification. Therefore, the image processing technology is used to optimize the design of mass concrete crack identification method. The image acquisition equipment is installed and calibrated to obtain the initial crack image of mass concrete of bridge engineering. The image processing technology is used to preprocess the initial image through the steps of graying, denoising, smoothing and smoothing. On this basis, the crack image features are extracted and fused to obtain the crack recognition results of mass concrete of bridge engineering including crack category, crack width and other information. Compared with the traditional recognition method, the average correct recognition rate of the design method is increased by 9.3%.
Method for Identifying Cracks In Mass Concrete of Bridge Engineering based on Image Processing
Due to the influence of the initial video image quality of concrete cracks, there are obvious identification errors in traditional bridge engineering mass concrete crack identification. Therefore, the image processing technology is used to optimize the design of mass concrete crack identification method. The image acquisition equipment is installed and calibrated to obtain the initial crack image of mass concrete of bridge engineering. The image processing technology is used to preprocess the initial image through the steps of graying, denoising, smoothing and smoothing. On this basis, the crack image features are extracted and fused to obtain the crack recognition results of mass concrete of bridge engineering including crack category, crack width and other information. Compared with the traditional recognition method, the average correct recognition rate of the design method is increased by 9.3%.
Method for Identifying Cracks In Mass Concrete of Bridge Engineering based on Image Processing
Xiong, Chun (Autor:in)
25.12.2020
958621 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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