摘要
在铁路安全检测系统中,铁轨识别是铁轨线路上障碍物检测的前提。结合铁轨数字图像特征,采用基于图像亮度值的不连续性进行铁轨识别,通过对常用边缘检测算子的对比分析,提出了基于边缘检测的铁轨识别流程;通过各算子对铁轨检测实验数据的对比,选择Sobel算子作为铁轨识别的基本算子;基于铁轨方向性强的基本特征,运用Sobel特定掩膜算子,检测指定方向线条,提高了铁轨识别精度,实现了对直道铁轨和弯道铁轨的有效识别。
In video surveillance for railway roadblock, railway recognition was the premise of obstacles detection. Based on different brighmess between railway and surroundings, edge detection was used in railway recognition. On the basis of analyzing usual edge detection operator, the flow of railway recognition was put forwarded. Through the experiment results, sobel operator was selected. For railway＇s directional properties, to use certain mask to detect vertical line, it was increasd the precision of detection, implemented railway recognition in straight or curving.
出处
《铁路计算机应用》
2009年第4期1-3,共3页
Railway Computer Application
基金
高等学校研究生导师科研计划(0814-4)
