摘要
针对传统的边缘提取算法对提取路面裂缝的不适应问题,提出了一种基于二维离散小波变换的路面裂纹图像降噪增强算法。该算法利用小波变换分解公路裂纹图像,自适应地处理不同层次的细节系数,增强裂纹信息。实验结果证明,面对复杂的图像背景纹理信息和大量噪声,算法能够成功锐化裂纹边缘信息,去除公路纹理噪声,有着较强的鲁棒性。
There are some limits in traditional methods of crack extraction. A pavement crack extraction algorithm was pro- posed based on two - dimensional discrete wavelet transform. The algorithm used the wavelet transform to extract the high frequency information of the image, and then transformed it to get the crack information. Experimental results show that the algorithm is able to extract the crack with the complex image background texture information and a lot of noises. It has a strong robustness.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2013年第5期678-681,共4页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
湖北省统计局科研基金资助项目(2012zs0076)
