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路面破损图像实时检测方法研究
引用本文:章秀华,洪汉玉,侯佳,荆根强. 路面破损图像实时检测方法研究[J]. 国外电子元器件, 2009, 17(6): 36-37,40
作者姓名:章秀华  洪汉玉  侯佳  荆根强
作者单位:武汉工程大学图像处理与智能控制实验室;北京星通联华交通科技发展有限公司;
基金项目:国家自然科学基金资助项目(60572040)
摘    要:
提出一种路面破损图像实时检测的实现方法。对高速采集的路面图像去模糊后再进行裂纹特征分析。设计了一种基于邻域像素灰度值比较的特征快速提取方法,利用邻域相关及连贯性等知识智能去除虚假裂纹,从而提取真实裂纹信息。大量采集的图片的处理结果表明,该方法可实时快速检测路面破损信息,具有较强的鲁棒性和实际应用性。

关 键 词:路面破损  裂纹特征  图像分析  特征提取

Research on real-time detection method for pavement surface distress image
ZHANG Xiu-hua,HONG Han-yu,HOU Jia ,JING Gen-qiang. Research on real-time detection method for pavement surface distress image[J]. International Electronic Elements, 2009, 17(6): 36-37,40
Authors:ZHANG Xiu-hua  HONG Han-yu  HOU Jia   JING Gen-qiang
Affiliation:1.Laboratory of Image Processing and Intelligent Control;Wuhan University of Technology;Wuhan 430074;China;2.Beijing Xingtong Lianhua Technology Co.;LTD;Beijing 100085;China
Abstract:
A method for real-time detection of pavement distress is proposed.Firstly,the fissure characteristic of the fast acquired pavement image is analyzed after the blur is cleared,and the extracted method based on adjacent regions pixel grey-value comparison is designed,the false cracks are deleted by using neighbourhood relativity and coherence of crack features,thus the true fissures are detected.Quantities of images are processed and the results show that the method can detect the pavement distress informatio...
Keywords:pavement distress  fissure features  image analysis  feature extraction  
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