PERIODIC DEFECTS IN STEEL STRIPS Detection Through a Vision-Based Technique

被引:2
作者
Bulnes, Francisco G. [1 ]
Usamentiaga, Ruben [1 ]
Garcia, Daniel F. [1 ]
Molleda, Julio [1 ]
Rendueles, Jose L. [2 ]
机构
[1] Univ Oviedo, Gijon, Spain
[2] ArcelorMittal, Aviles, Spain
关键词
Strips; Steel; Inspection; Surface morphology; Finishing; Sparse matrices;
D O I
10.1109/MIAS.2012.2215638
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As steel strips produced in steel works are used as raw material in many other industries, control of their quality is essential. Steel is required for the production of many products such as tools, cans, or car parts. In all of these cases, the quality of the steel has a direct impact on the quality of the final product. One of the most critical phases of steel quality control takes place in the finishing mill, where the hot steel is rolled into its final form. If the roll surface that applies pressure on the steel has any kind of distortion, it imprints a set of defects on the steel strip. Each time it completes a turn, it generates a defect. This is a crucial problem. © 1975-2012 IEEE.
引用
收藏
页码:39 / 46
页数:8
相关论文
共 11 条
[1]   SETI@home - An experiment in public-resource computing [J].
Anderson, DP ;
Cobb, J ;
Korpela, E ;
Lebofsky, M ;
Werthimer, D .
COMMUNICATIONS OF THE ACM, 2002, 45 (11) :56-61
[2]   BACKTRACK PROGRAMMING TECHNIQUES [J].
BITNER, JR ;
REINGOLD, EM .
COMMUNICATIONS OF THE ACM, 1975, 18 (11) :651-656
[3]  
Eisenstat S. C., 1975, YALE SPARSE MATRIX P
[4]  
Jeong J. H., 2005, SEAISI Q, V36, P10
[5]   Vision-based inspection for periodic defects in steel wire rod production [J].
Park, Changhyun ;
Choi, Seho ;
Won, Sangchul .
OPTICAL ENGINEERING, 2010, 49 (01)
[6]   Distributed computing in practice: the Condor experience [J].
Thain, D ;
Tannenbaum, T ;
Livny, M .
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2005, 17 (2-4) :323-356
[7]   Objective comparison of edge detection assessment methods based on genetic optimization [J].
Usamentiaga, Ruben ;
Garcia, Daniel F. ;
Molleda, Julio .
JOURNAL OF ELECTRONIC IMAGING, 2009, 18 (02)
[8]  
Van Rijsbergen C. J., 1975, Information retrieval
[9]  
Wu GF, 2008, 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, P2291, DOI 10.1109/ICAL.2008.4636548
[10]   A survey on evaluation methods for image segmentation [J].
Zhang, YJ .
PATTERN RECOGNITION, 1996, 29 (08) :1335-1346