Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/DBTA.2009.133 | DBTA |
Keywords | Field | DocType |
quality management,gray scale,image processing,strips,image classification,computer vision,machine vision,inspection | Computer vision,Machine vision,Computer science,Image processing,Software,STRIPS,Artificial intelligence,Contextual image classification,Quality management,Grayscale | Conference |
Volume | Issue | Citations |
null | null | 3 |
PageRank | References | Authors |
0.50 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Tang | 1 | 3 | 0.50 |
| Jian-yi Kong | 2 | 11 | 3.65 |
| Xingdong Wang | 3 | 8 | 1.36 |
| Li Chen | 4 | 332 | 31.94 |