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基于视频图像的隧道行车信息检测方法研究
Study of Method Detecting Tunnel Traffic Information Based on Video Images
【摘要】 准确检测隧道高速行驶车辆的相关信息,对于隧道照明节能控制系统的研究与实施非常重要,为改善传统帧差法在信息检测时存在的不足,采用MATLAB实现对帧差图像的正值图像和负值图像的获取,充分利用图像的原始信息,提高车辆信息检测的准确性。相比于传统的帧差法,该算法得到的车辆轮廓更加清晰,检测结果更为准确。
【Abstract】 To detect the high speed driving vehicle information accurately are very important to study and implement the energy-saving control system for tunnel lighting.In this paper,MATLAB is used to separate the negative and positive information from original image in order to make full use of the original information and improve the accuracy of vehicle information detection.Compared with the traditional frame difference method,the present method can get more accurate results in detection and more clear vehicle contours.
【关键词】 车辆信息检测;
正负图像;
帧差法;
图像匹配;
【Key words】 vehicle detection information; positive and negative image; frame difference; image matching;
【Key words】 vehicle detection information; positive and negative image; frame difference; image matching;
【基金】 国家自然科学基金,项目编号61361012
- 【文献出处】 公路 ,Highway , 编辑部邮箱 ,2016年11期
- 【分类号】U453.7;TP391.41
- 【被引频次】3
- 【下载频次】106