摘要： 传统的基于人工视觉检测裂缝的方法愈来愈不能适应高速公路发展的要求：其耗人力、 耗时、 不精确、影响交通、危险、 花费高的缺点要求路面状况调查的自动完成。该文介绍了一种基于图像处理的路面裂缝自动检测方法。其首先使用一种快速的针对灰度不均图像校正方法，对降质的路面图像进行增强，再进行阈值分割，提取出图像上的线性特征，最后再根据线性特征从原灰度图像上识别出裂缝目标。实验结果表明了该方法的有效性。

关键词: 灰度校正, 裂缝检测, 点扩展

Abstract: Conventional visual and manual road crack detection method is no fit to the development of the highway: it is labor-consuming, time-consuming, non-precise, dangerous, costly and also it can affect transportation. So the automatic pavement survey is required. This paper describes an automatic road crack detection method based on image process. It enhances the road image by using a fast correct method in the first, then processes segment threshold and extracts linear feature, and the last is the identification of the crack from the original gray image. The experimental result is satisfactory.

中图分类号: 

• TP391.41