Detection algorithm for crack width in concrete bridge under complex environmental condition
WANG Xing
Abstract：To improve the detection accuracy of crack widths in concrete bridges in complex environments,a crack width detection algorithm is proposed.Based on the grayscale transformation of images,the grayscale images of cracks are adjusted.The images are normalized to enhance the detailed features.Crack images are identified in complex backgrounds.A cumulative distribution function is constructed based on the calculation of the grayscale histogram of the images.Histogram equalization of concrete bridge crack images is achieved by combining the grayscale transformation.The crack width detection algorithm for concrete bridges is designed based on the principle of calculating the distance between continuous curves which can successfully detect the crack widths in concrete bridges.The results show that detection accuracy of the detection accuracy of crack widths in concrete bridges is 97.30%and 96.57%in noisy and radiated environment,respectively.This algorithm provides data support for improving the detection quality of concrete bridges.
Keywords：crack widthconcrete bridgedetection algorithmhistogram equalization
Publication Date：2023-12-30
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：6( 127-132 )