路面裂缝检测

资 源 简 介

对路面的裂缝进行灰度化，去噪，直方图均衡化，然后区分线性裂缝和网状裂缝，最后计算线性裂缝的长度以及网状裂缝的面积。

详 情 说 明

To improve the accuracy of detecting cracks on the pavement, we will need to perform several image processing techniques. Firstly, we will need to convert the image of the pavement's surface into grayscale, so that it will be easier for the computer to detect any irregularities on the surface. After that, we will need to apply a noise reduction filter to the image to remove any unnecessary noise that may interfere with the detection process. To further enhance the contrast of the image, we will also use histogram equalization. Once we have processed the image, we will then proceed to distinguish between two types of cracks: linear and mesh-like cracks. Linear cracks are more straightforward to detect, as they are usually straight and have a consistent width. In contrast, mesh-like cracks usually have a more complex pattern and may vary in size and shape. Lastly, we will calculate the length of linear cracks and the area of mesh-like cracks to accurately assess the severity of the damage on the pavement's surface.