A review of applications of visual inspection technology based on image processing in the railway industry

被引：61

作者：

Liu, Scarlett ^{[1
,2
]}

Wang, Quandong ^{[1
]}

Luo, Yiping ^{[1
]}

机构：

[1] Cent South Univ, 68 South Shaoshan Rd, Changsha, Hunan, Peoples R China

[2] UNSW Sydney, Lib Rd, Kensington, NSW 2052, Australia

来源：

TRANSPORTATION SAFETY AND ENVIRONMENT | 2019年 / 1卷 / 03期

关键词：

visual inspection; image-processing computer vision; railway; high-speed train; DEFECT DETECTION; SURFACE-DEFECTS; SYSTEM; RECOGNITION; COMPONENTS; EFFICIENCY; FASTENERS; ALGORITHM; BOLTS;

D O I：

10.1093/tse/tdz007

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

In order to ensure the safety of railway transportation, it is necessary to regularly check for faults and defects in the railway system. Visual inspection technology is conducive to improving the low efficiency, poor economy and inaccurate detection results of traditional detection methods. This paper introduces the research and contribution of various scholars in the field of visual inspection, summarizes the application and development of visual inspection technology in the railway industry, and finally forecasts the future research direction of visual inspection technology.

引用

页码：185 / 204

页数：20

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