基于图像增强的水泥路面裂缝检测方法及应用

摘要

针对水泥路面裂缝识别的干扰和噪声问题，提出一种基于图像增强的裂缝检测方法。首先利用小波变换增强裂缝对比度；再采用空域滤波和基于傅里叶变换（FFT）的频域滤波相结合的方法滤除图像中的噪声和干扰；在此基础上，使用边缘检测方法实现裂缝提取。实验结果表明，该方法可有效去除图像中的干扰和噪声，较好地识别水泥路面的裂缝。%Considering the problem of interferes and noise in the crack detection of cement pavement, a new method is proposed based on image enhancement. First, wavelet transform is used to enhance the contrast be-tween crack and background image. Then, interferes and noise are filtered by combing spatial filtering with frequency filtering based on FFT. Lastly, crack detection is implemented based on edge detection method. Simulation results show that this method can remove interferes and noise and detective cracks of cement pavement effectively.