Detection of Catenary Positioning Bearing Based on Feature Matching

ZENG Yida; YANG Huijin; TAN Jinlian; TANG Li

doi:10.13890/j.issn.1000-128x.2018.03.021

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Detection of Catenary Positioning Bearing Based on Feature Matching

更新时间：2021-12-13

- Detection of Catenary Positioning Bearing Based on Feature Matching
- Electric Drive for Locomotives Issue 3, Pages: 100-103(2018)
- 作者机构：
  
  1. 西南交通大学电气工程学院,四川,成都,610031
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2018.03.021
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ZENG Yida, YANG Huijin, TAN Jinlian, et al. Detection of Catenary Positioning Bearing Based on Feature Matching. [J]. Electric Drive for Locomotives (3):100-103(2018)
DOI：

ZENG Yida, YANG Huijin, TAN Jinlian, et al. Detection of Catenary Positioning Bearing Based on Feature Matching. [J]. Electric Drive for Locomotives (3):100-103(2018) DOI： 10.13890/j.issn.1000-128x.2018.03.021.

摘要

针对高速铁路接触网的定位支座识别问题，提出利用图像处理技术中的特征匹配的方法对接触网综合检测车采集的接触网图像进行定位支座的检测，采用3 种常见的特征描述子分别对定位支座进行旋转不变和尺度不变的特征点检测，对SURF 和ORB 特征描述点用欧式距离进行匹配，采用汉明距离对FREAK 描述子进行匹配。试验表明SURF 的匹配效果最好，性能最佳，该方法能够进行实际运用。

Abstract

Aiming at the problem of positioning bearing identification of high-speed railway catenary, using feature matching method in image processing technology to locate the catenary bearing by catenary comprehensive detection vehicle was proposed, and three kinds of characteristic descriptors were used to detect the feature points with constant rotation and constant scale. SURF and ORB were matched with Euclidean distance, and the FREAK descriptor was matched by Hamming distance. Experiments showed that SURF has the best matching effect and the best performance. The method can be used in practice.

关键词

接触网定位支座特征点特征匹配

Keywords

catenarypositioning bearingfeature pointfeature matching

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