Title :
Surface Inspection System of Steel Strip Based on Machine Vision
Author :
Tang, Bo ; Kong, Jian-yi ; Wang, Xing-dong ; Chen Li
Author_Institution :
Coll. of Machinery & Autom., Wuhan Univ. of Sci. & Technol., Wuhan, China
Abstract :
The traditional surface quality inspection of steel strip is carried by human inspectors, which is far from satisfactory because of its low productivity, low reliability and poor economy. It is a promising way to inspect surface quality of steel strip based on machine-vision technology. In this paper, the structure of the surface automated inspection system is described. The software and image processing of steel strip surface inspection is presented and the algorithms of detect surface defects of steel strip is discussed. The system is capable of both detecting and classifying surface defects in cold rolling steel strip.
Keywords :
automatic optical inspection; cold rolling; computer vision; image classification; production engineering computing; quality management; steel; strips; cold rolling steel strip; image processing; machine vision; surface automated inspection system; surface defect classification; surface defect detection; surface quality inspection system; Cameras; Charge coupled devices; Charge-coupled image sensors; Concurrent computing; Inspection; Machine vision; Production; Steel; Strips; Surface resistance; Machine Vision; Steel Strip; Surface Inspection System;
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
DOI :
10.1109/DBTA.2009.133
