Fast Line Detection Method for Railroad Switch Machine Monitoring System

摘要：

A Railroad Switch Machine Monitoring System is an important system for realizing centralized supervision, comprehensive evaluation, and accident prevention. There is a need to improve the maintenance of electric switch machines, in particular the locking mechanism, which needs precise adjustment to within 0.1 mm. The work that we present here is concerned with the application of an image processing algorithm that detects the Indication Indentation of switch machines. In this study, the Canny Edge Detector is used to obtain the edge values in binary image. The Zhang Suen Thinning Method is used to reduce the thickness of the edges. In post-processing, the Probabilistic Hough Transform (PHT) is used to detect the lines through the edge lines obtained. The proposed approach significantly improves the performance of the line detection and makes the transform more robust to the detection of the spurious lines.

关键词： Image Processing Edge Detector Thinning Method Hough Transform Switch Machine

作者: Qingfeng Li Jifang Shi Chen Li

作者单位: College of Electron & Information Engineering, Ningbo University of Technology Ningbo, 315016, China

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 61-64

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）