摘要
提出了一种不同状况下路面修补图像车载自动检测算法,首先分析道路病害修补图像特征,对道路病害图像运用统一复原方法进行图片去模糊处理,采用窗对比度算法提取修补图像信息,再结合原图信息二次运用窗口对比度算法去除伪修补信息,准确、迅速地提取图像路面修补目标信息。对大量的图片进行测试,实验结果表明论文提出的算法具有可靠性和可应用性。
A vehicular automatic detection method for pavement patch image in various condition is proposed. First, the pavement patch image feature is analyzed, the universal deblurring method is used to deblur the blurring pavement images. Then the patch information is extracted by using the window contrast algorithm, and the false patch information is deleted by using the second window information and the original image information. Several images are tested by the proposed method. The experimental results show that the proposed method has reliability and application.
出处
《计算机与数字工程》
2014年第5期868-871,共4页
Computer & Digital Engineering
基金
国家自然科学基金面上项目(编号:61305039
61175013)
湖北省自然科学基金创新群体项目(编号:2012FFA046)
武汉市国际科技合作计划项目(编号:2014030709020310)
关键词
路面病害
修补图像
图像去模糊
车载自动检测
pavement distress, patching image, image deblurring, automatic detection
