基于多级去噪模型的路面裂缝检测方法

Pavement crack detection method based on multilevel denoising model

为了去除路面裂缝检测中的各种噪声,在分析对比了目前常用去噪模型优缺点的基础上,根据路面图像中的噪声及裂缝信息的特点,结合已有去噪算法的优点,提出了一种新的基于路面裂缝检测的多级去噪模型。整个去噪模型包括灰度去噪模型、空间滤波去噪模型、裂缝特征去噪模型与几何特征去噪模型。实验结果表明,该模型在路面图像的去噪、裂缝信息提取等方面有较大改进。

In order to wipe off all kinds of noisy influence in the detection of pavement surface cracks,the advantages and disadvantages of the existing denoising models were analyzed.Combined with the advantages of the existing denoising algorithms and characteristics of the noise and crack information of pavement image,a novel multilevel denoising model based on the detection of pavement crack was presented.The whole denoising model was composed of gray denoising model,spatial filtering denoising model,crack characteristics denoising model and geometrical features denoising model.The experimental results indicate that the proposed model is more advanced in the pavement image denoising and the extraction of crack.