基于图像识别的城市道路沥青路面裂缝快速检测方法

L. Tang
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引用次数: 0

摘要

在前人研究成果的基础上,将图像识别技术应用于城市道路沥青路面裂缝的快速检测,提出了一种基于图像识别的城市道路沥青路面裂缝快速检测方法。本文设计了一种路面裂缝图像采集装置,用于路面裂缝图像的采集。对道路图像进行去噪和增强处理。在图像识别的基础上,进行裂缝分类。首先进行边界跟踪,然后进行小区域图像处理,最后进行裂缝分类。采用不同的方法对裂缝的相关参数进行测量和计算,实现对裂缝的快速检测。经过测试,该设计方法可以在一定程度上提高图像的整体视觉效果,并实现更高的裂纹检测率,具有广阔的应用前景。
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Fast detection method of urban road asphalt pavement crack based on image recognition
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.
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