Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Crack Detection of Highway Prestressed Concrete Bridge based on Image Recognition
Because the traditional highway prestressed concrete bridge crack detection method has poor ability to detect image edges, the detection rate of the detection method is low. Therefore, a crack detection method of highway prestressed concrete bridge based on image recognition is proposed. Select the image acquisition equipment and acquisition points to complete the bridge image acquisition. The collected image is grayed and enhanced to realize image preprocessing. Taking the above-mentioned image as the detection basis, the threshold method is used to segment the detection to complete the crack edge detection. So far, the design of crack detection method for highway prestressed concrete bridge based on image recognition is completed by comparing with the other two traditional methods, it can be seen that this method has a higher detection rate of cracks, which shows that this method is more effective in use.
Crack Detection of Highway Prestressed Concrete Bridge based on Image Recognition
Because the traditional highway prestressed concrete bridge crack detection method has poor ability to detect image edges, the detection rate of the detection method is low. Therefore, a crack detection method of highway prestressed concrete bridge based on image recognition is proposed. Select the image acquisition equipment and acquisition points to complete the bridge image acquisition. The collected image is grayed and enhanced to realize image preprocessing. Taking the above-mentioned image as the detection basis, the threshold method is used to segment the detection to complete the crack edge detection. So far, the design of crack detection method for highway prestressed concrete bridge based on image recognition is completed by comparing with the other two traditional methods, it can be seen that this method has a higher detection rate of cracks, which shows that this method is more effective in use.
Crack Detection of Highway Prestressed Concrete Bridge based on Image Recognition
Yin, Hong-Yan (Autor:in) / Tang, Li (Autor:in)
25.12.2020
951547 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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