机器视觉在沥青路面病害检测中的应用

Application of machine vision in asphalt pavement disease detection

路面病害会对交通和公共安全构成威胁,传统的病害检测方法缺乏效率和准确性,机器视觉技术通过使用高级图像处理和机器学习算法,提供了一种有效且准确的检测方法。文章分析了机器视觉在沥青路面病害检测中的应用,突出了其相对传统方法自动化、准确性和覆盖面的优势;通过对应用现状进行总结分析,讨论了机器视觉在病害检测领域面临的挑战。

Pavement diseases will pose a threat to traffic and public safety,traditional disease detection methods lack efficiency and accuracy.Machine vision technology provides an effective and accurate detection method by using advanced image processing and machine learning algorithms.This paper analyzes the application of machine vision in asphalt pavement disease detection,and highlights its advantages over traditional methods in automation,accuracy and coverage.By summarizing and analyzing the application status of machine vision,the challenges faced by machine vision in the field of disease detection are discussed.