DocumentCode
2150474
Title
Inspection of rail surface defect based on machine vision system
Author
Chen, Limin ; Liang, Yin ; Wang, Kaimin
Author_Institution
Information Engineering School, Nanchang University, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
3793
Lastpage
3796
Abstract
An inspection system based machine vision technique for rail surface defects is presented. Automatic detection of noised cracks on surface is analyzed by means of image processing. Image enhancement, denoising and feature extraction are applied in processing the images of track. The region of defect is extracted on the adaptive threshold. Based on morphology of cracks, dynamic template is designed to detect continuous crack boundary, and then length of cracks can be estimated.
Keywords
Image enhancement; Machine vision; Rails; Surface cracks; Surface morphology; Surface treatment; dynamic template; feature extraction; image processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5691348
Filename
5691348
Link To Document