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
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691348
