摘要
针对水泥路面图像裂缝识别过程中造成主要干扰的接缝问题,提出利用水平投影的方法去除接缝的算法,从而获得路面裂缝识别结果.首先用小波变换提取图像高频信息,获得包含裂缝、接缝及噪声的二值化图;再根据投影峰值特征,判断图像中是否包含接缝、确定接缝位置,将找到的接缝去除,得到裂缝识别结果.实验结果表明,新算法可以有效地去除水泥路面图像中的接缝,实现水泥路面裂缝的自动识别.
Based on analysis of joints that interferes with crack detection on cement pavement, a new algorithm is proposed to remove joints and obtain crack identification results by horizontal projection. Firstly, high frequency information of image is obtained by wavelet transform that carries out a binary image containing cracks, joints and noise. Secondly, the joints should be identified and located according to peak features of horizontal projection. Finally, the cracks can be detected accurately after removal of joints. Test illustrats that joints of cement pavement can be removed effectively with this algorithm. Simulation shows that the algorithm can remove the joints effectively, and therefore, the automatic inspecting of cement pavement cracks can be implemented.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2012年第6期121-124,共4页
Journal of Beijing University of Posts and Telecommunications
基金
国家高技术研究发展计划项目(2006AA11Z101)
关键词
道路工程
水泥路面裂缝
图像识别
裂缝识别
road engineering
cement pavement crack
image analysis
crack detection
