基于改进多尺度小波的受电弓滑板边缘检测

Improved multi-scale wavelet in pantograph slide edge detection

受电弓滑板边缘检测的主流方法是Canny算子和多尺度小波边缘检测。前者单边响应较强但存在边缘断裂现象,后者提取边缘连续但存在边缘冗余的缺点。文中结合两种方法的优点,给出一种基于Canny准则的多尺度小波边缘检测方法。改进方法兼备良好的边缘连续性和较强的单边响应性,无须进行后续边缘连接和细化操作,大大提高了系统算法效率。峰值信噪比分析说明边缘检测性能明显优于Canny算子和传统多尺度小波,边缘定位精确,细节清晰,且有很好的噪声性能。

The mainstream methods of pantograph slide edge detection are based on Canny operator and multi-scale wavelet. The former has good single edge response but the edge is fractured,the latter performs good edge continuity but contains excessive edge points. This paper combines the advantages of both methods and proposes an improved multi-scale wavelet edge detection method based on Canny criteria. The results show that the improved algorithm has both satisfactory performances in single edge response and edge continuity,it markedly improves the efficiency of edge detection algorithm. Peak Signal to Noise Ratio（ PSNR） analysis finds that the improved algorithm exceeds Canny operator and traditional multi-scale wavelet edge detection. Moreover,it has higher positioning accuracy,clearer details and better noise performance.