复杂情况下受电弓滑板边缘的检测  

Edge Detection of Pantographic Slide Under Complex Circumstance

作　　者：朱燕玉[1] Zhu Yanyu(Department of Metallurgy and Chemical Engineering, Baotou Iron and Steel Vocational Technical College Baotou, Inner Mongolia 014010, China)

机构地区：[1]包头钢铁职业技术学院冶金化工系,内蒙古包头014010

出　　处：《激光与光电子学进展》2018年第6期295-299,共5页Laser & Optoelectronics Progress

摘　　要：受电弓是电气列车重要的受流装置,受电弓滑板磨耗程度影响着弓网之间的配合情况。对受电弓滑板磨耗故障的自动测量,是实现受电弓自动化检测的重要手段之一。根据视觉测量系统所拍摄的受电弓滑板图像的特点,利用基于部分面积作用的亚像素边缘定位算法,提出一种滑板上边缘和下边缘的精确识别算法。通过与其他常见边缘提取算法进行对比,证明了所提算法的可行性和优越性。Pantograph is an important equipment of current collector for the electric train. The abrasion of the pantographic slide affects the coordination of pantograph-catenary system. Automatic measurement of pantographic slide abrasion is one of the important means to realize the automatic fault inspection of pantograph. According to the image characteristics of pantographic slide captured by the vision measuring system, an accurate recognition algorithm for upper and lower edges of the slide is proposed. The proposed algorithm is fulfilled by employing the accurate sub-pixel edge location method based on partial area effect. By comparing with other common edge extraction algorithms, the feasibility and superiority of the proposed algorithm are proved.

关 键 词：机器视觉 受电弓 滑板 亚像素边缘提取 边缘识别 

分 类 号：U216.3[交通运输工程—道路与铁道工程]