基于双结构元素数学形态学的铁轨图像边缘检测方法

针对铁轨图像在采集过程中经常受到不同程度的噪声影响,传统边缘检测方法难以检测并提取准确的铁轨边缘.文中通过分析灰度数学形态学抗噪图像边缘检测的常用方法,提出基于不同几何形状及大小的双结构元素抗噪数学形态学铁轨图像边缘检测算法.并应用这种算法对掺杂有噪声的铁轨弯道图像边缘进行铁轨边缘检测,实验结果表明:该方法具有比传统经典边缘检测方法更好的铁轨弯道边缘检测及提取效果.

Edge detection method of track images based on mathematical morphology of dualstructural elements

Track images were often subject to different levels of noise in the collection process in outdoor,it became difficult to detect and recognize the true edge of track by the traditional edge detection algorithm.By analyzing the commonly used gray-scale mathematical morphology edge detection algorithms of anti-noise,this paper proposed mathematical morphology anti-noise track edge detection algorithm based on different geometry and size of the dual-structure element.And by which the edges of the track corners ...