摘要
智能交通系统中车辆检测技术是后续工作的基础,利用交通视频采用边缘检测法来检出车辆具有较高的有效性和鲁棒性。传统基于Sobel算法的边缘检测法由于阈值设定的问题不能满足交通复杂多变的光照条件,因此采用一种自适应阈值的Sobel算法。最后用Matlab进行仿真,仿真结果表明在光照不足的情况下采用自适应阈值的Sobel算法效果要优于传统的Sobel算法,且检测速度比较快基本满足实时性的要求。
Vehicle detection technology in intelligent transportation system is the foundation of the follow-up work. It has a high efficiency and robustness by using the edge detection method to detect the vehicle. The traditional Sobel algorithm based on edge detection method is unable to meet the complex and changeable illumination conditions because of the threshold setting. An adaptive threshold Sobel algorithm is adopted and then Matlab simulation is used. The simulation results show that the Sobel algorithm in a low light condition with adaptive threshold is superior to the traditional Sobel method. The detection speed is relatively faster,which basically meets the real-time requirements.
出处
《电子科技》
2017年第11期78-80,共3页
Electronic Science and Technology
