摘要
论述国内外路面裂缝自动化检测及识别发展现状的基础上,分析了基于图像处理的高速公路路面裂缝检测及识别的关键问题并提出了相应的处理方法。平稳小波阈值方法去噪,改进Canny准则算法边缘检测,BP神经网络识别系统识别。
Present status of highway pavement crack automatic detection and recognition was discussed along with the analysis of key issues. Solutions were given based on image processing. These solutions included stationary wavelet threshold denoising method,improvement in rule of Canny algorithm for edge detection,and BP neural network system recognition.
出处
《北华航天工业学院学报》
CAS
2015年第2期26-28,共3页
Journal of North China Institute of Aerospace Engineering
基金
廊坊市科技局项目(2014011023)
北华航天工业学校科研基金资助项目(KY-2013-13)
关键词
路面裂缝
平稳小波去噪
边缘检测
神经网络
pavement crack
Stationary wavelet threshold denoising
edge detection
neural network
