Title :
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
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;
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
DOI :
10.1109/CAR.2010.5456793
