Inspection of rail surface defects based on image processing

Author

Liu, Ze ; Wang, Wei ; Zhang, Xiaofei ; Jia, Wei

Author_Institution

Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China

Volume

1

fYear

2010

fDate

6-7 March 2010

Firstpage

472

Lastpage

475

Abstract

A rail surface defects inspection method based on automated machine vision system is proposed in the paper. Two kinds of defect images including spalling of rail head and cracks in surface are analyzed with this method. Some related algorithms comprising denoising, image segmentation and feature extraction are applied in processing the images of rail surface defect. Then accurate region of defect is extracted and recognized by dynamic thresholding and feature matching. Percentage of wear of rail head and length of cracks in surface are calculated next as an evaluation of flaw on inspected rail head section.

Keywords

computer vision; crack detection; feature extraction; image segmentation; railway safety; structural engineering computing; surface cracks; automated machine vision system; dynamic thresholding; feature extraction; feature matching; image denoising; image processing; image segmentation; rail head spalling; rail head wear percentage; rail surface defects inspection; surface cracks; surface spalling; Feature extraction; Image analysis; Image processing; Image segmentation; Inspection; Machine vision; Magnetic heads; Noise reduction; Rails; Surface cracks; Rail surface defect; feature matching; image processing; percentage of wear; rail head spalling;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on

Conference_Location

Wuhan

ISSN

1948-3414

Print_ISBN

978-1-4244-5192-0

Electronic_ISBN

1948-3414

Type

conf

DOI

10.1109/CAR.2010.5456793

Filename

5456793