Fast detection method of urban road asphalt pavement crack based on image recognition

Abstract

Based on the previous research results, the application of image recognition technology to the rapid detection of urban road asphalt pavement cracks, a fast detection method of urban road asphalt pavement cracks based on image recognition is proposed. This paper designs an image acquisition device of pavement cracks to collect the images of pavement cracks. The road image is denoised and enhanced. Based on image recognition, fracture classification is carried out. Firstly, boundary tracking is carried out, then small area image processing is carried out, and finally fracture classification is carried out. Different methods are used to measure and calculate the relevant parameters of cracks, to realize the rapid detection of cracks. After testing, the design method can improve the overall visual effect of the image to a certain extent, and achieve a higher crack detection rate, which has a broad application prospect.