Heuristic Algorithms for Aggregating Rail‐Surface‐Defect Data

1994 ◽  
Vol 120 (2) ◽  
pp. 295-311 ◽  
Author(s):  
Roemer M. Alfelor ◽  
Sue McNeil
Keyword(s):  
Surface Defect ◽  
Heuristic Algorithms ◽  
Rail Surface Defect

A Coarse-to-Fine Model for Rail Surface Defect Detection

2019 ◽  
Vol 68 (3) ◽  
pp. 656-666 ◽  
Author(s):  
Haomin Yu ◽  
Qingyong Li ◽  
Yunqiang Tan ◽  
Jinrui Gan ◽  
Jianzhu Wang ◽  
...  
Keyword(s):  
Defect Detection ◽  
Surface Defect ◽  
Surface Defect Detection ◽  
Coarse To Fine ◽  
Rail Surface Defect

Research on Rail Surface Defect Inspection System

2012 ◽  
Vol 229-231 ◽  
pp. 1389-1393
Author(s):  
Yu Hu ◽  
Jian Xu Mao ◽  
Jian Pin Mao
Keyword(s):  
High Speed ◽  
Surface Defect ◽  
Surface Defects ◽  
Imaging System ◽  
Detection System ◽  
Inspection System ◽  
System Control ◽  
Visual Imaging ◽  
Automatic Detection System ◽  
Rail Surface Defect

In order to realize the inspection of rail surface defects with high speed and high precision, an automatic detection system based on machine vision is presented. The hardware structure of the system consists of the mechanical system, control system and visual imaging system. The software structure using histogram threshold segmentation, multi-structural morphological edge detection and other image processing methods to detect and identify defects automatically, and also built the simulation rail detection platform. The experimental results show that the cracks, scars and other detects can be accurately detected and extracted in real time, and meet the requirement of the rail surface inspection.

scholarly journals Research on deep learning method for rail surface defect detection

2020 ◽  
Vol 10 (4) ◽  
pp. 436-442
Author(s):  
Jiang Hua Feng ◽  
Hao Yuan ◽  
Yun Qing Hu ◽  
Jun Lin ◽  
Shi Wang Liu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Defect Detection ◽  
Surface Defect ◽  
Learning Method ◽  
Surface Defect Detection ◽  
Rail Surface Defect
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