[1]曾怡达,杨辉金,谭金练,等.基于特征匹配的接触网定位支座检测[J].机车电传动,2018,(03):100-103.[doi:10.13890/j.issn.1000-128x.2018.03.021]
 ZENG Yida,YANG Huijin,TAN Jinlian,et al.Detection of Catenary Positioning Bearing Based on Feature Matching[J].Electric Drive for Locomotives,2018,(03):100-103.[doi:10.13890/j.issn.1000-128x.2018.03.021]
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基于特征匹配的接触网定位支座检测()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2018年03期
页码:
100-103
栏目:
试验检测
出版日期:
2018-05-10

文章信息/Info

Title:
Detection of Catenary Positioning Bearing Based on Feature Matching
文章编号:
1000-128X(2018)03-0100-04
作者:
曾怡达 杨辉金 谭金练唐 丽
(西南交通大学电气工程学院,四川 成都 610031)
Author(s):
ZENG Yida YANG Huijin TAN Jinlian TANG Li
( School of Electrical Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China )
关键词:
接触网定位支座特征点特征匹配
Keywords:
catenary positioning bearing feature point feature matching
分类号:
U225.4+2
DOI:
10.13890/j.issn.1000-128x.2018.03.021
文献标志码:
A
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.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:曾怡达(1973-),男,博士,副教授,主要研究方向为功率开关变换器、软开关技术、电力系统信号分析、图像处理。
更新日期/Last Update: 2018-05-10