Surface Inspection System of Steel Strip Based on Machine Vision

被引：22

作者：

Tang Bo ^{[1
]}

Kong Jian-yi ^{[1
]}

Wang Xing-dong ^{[1
]}

Chen Li ^{[1
]}

机构：

[1] Wuhan Univ Sci & Technol, Coll Machinery & Automat, Wuhan 430081, Peoples R China

来源：

FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS | 2009年

关键词：

Surface Inspection System; Machine Vision; Steel Strip;

D O I：

10.1109/DBTA.2009.133

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：359 / 362

页数：4