摘要
接触网检测是保证电气化铁路接触网可靠运行的一项重要工作,其中定位器就是接触网系统中一个重要的组成部分,因此如何快速确定出定位器的位置便成了检测工作的基础。针对以上问题,文中提出了一种基于直线检测与AdaBoost算法的定位器识别方法。由于接触网支柱及腕臂等零部件均具有明显的直线特性,因此文章的主要思想便是通过Hough变换来对采集到的接触网图像中的直线特征进行提取,然后根据AdaBoost算法在目标识别方面的功能,首先找出能够代表支柱的直线,根据支柱的位置缩小检测的范围,从而进一步确定定位器在图中的位置。
Overhead Contact System （OCS）inspection is very important to insure the reliable operation of electric rail-way,and the locator is a key part of the OCS.Therefore,rapidly confirming the position of locator is the basis of OCS inspection.In this paper,a locator identification method based on lines detecting and AdaBoost algorithm is presented. As the parts such as OCS posts and cantilevers possess obvious linear characteristic,by Hough transformation,linear characteristic in OCS images can be extracted,then according to the function of AdaBoost algorithm on object identifica-tion,firstly the straight line standing for the post is found out,finally the inspection scope is diminished as per the post location,thus the position of locator in the drawing is further confirmed.
出处
《高速铁路技术》
2014年第3期9-12,共4页
High Speed Railway Technology
基金
中国铁路总公司科技研究开发计划(2013J010-B)
