首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于图像增强的水泥路面裂缝检测方法及应用
引用本文:徐爱华.基于图像增强的水泥路面裂缝检测方法及应用[J].南通职业大学学报,2014(4):85-88.
作者姓名:徐爱华
作者单位:阜宁县交通运输局,江苏 阜宁,224400
基金项目:国家自然科学基金(61375001);江苏省自然科学基金
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。

关 键 词:水泥路面  裂缝检测  图像增强  边缘检测

Image Enhancement Crack Detection Method with Application of Cement Pavement
XU Ai-hua.Image Enhancement Crack Detection Method with Application of Cement Pavement[J].Journal of Nantong Vocational College,2014(4):85-88.
Authors:XU Ai-hua
Institution:XU Ai-hua (Funing Transportation Bureau, Funing 224400, China)
Abstract: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.
Keywords:cement oavement cracks  crack detection  image enhancement  edge detection
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号