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

来源：

IEEE INDUSTRY APPLICATIONS MAGAZINE | 2013年 / 19卷 / 02期

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

页码：39 / 46

页数：8

共 50 条

[41] Vision-Based Fatigue Crack Detection of Steel Structures Using Video Feature Tracking
Kong, Xiangxiong
Li, Jian
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2018, 33 (09) : 783 - 799
[42] Vision-based welding quality detection of steel bridge components in complex construction environments
Tianshi Hu
Xiuping Huang
Zuolei Yang
Zhixiong Liu
Jie Zhao
Zhao Xu
Urban Lifeline, 3 (1):
[43] A Vision-based Lane Detection Technique using Deep Neural Networks and Temporal Information
Chang, Chun-Ke
Lin, Huei-Yung
VEHITS: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS, 2022, : 172 - 179
[44] Vision-Based Navigation through Urban Canyons
Hrabar, Stefan
Sukhatme, Gaurav
JOURNAL OF FIELD ROBOTICS, 2009, 26 (05) : 431 - 452
[45] Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique
Kim, Byunghyun
Cho, Soojin
SENSORS, 2018, 18 (10)
[46] Vision-based Gyroscope Fault Detection for UAVs
Simlinger, Benedict
Ducard, Guillaume
2019 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS), 2019,
[47] VISION-BASED WARNING SYSTEM FOR FALL DETECTION
Elfiky, Dina M.
Elmasry, Ramez M.
Salem, Mohammed A. -M.
Afifi, Shereen
2024 41ST NATIONAL RADIO SCIENCE CONFERENCE, NRSC 2024, 2024, : 295 - 302
[48] Anomaly Detection for Vision-Based Railway Inspection
Gasparini, Riccardo
Pini, Stefano
Borghi, Guido
Scaglione, Giuseppe
Calderara, Simone
Fedeli, Eugenio
Cucchiara, Rita
DEPENDABLE COMPUTING, EDCC 2020 WORKSHOPS, 2020, 1279 : 56 - 67
[49] Vision-based detection of activity for traffic control
Liu, Y
Payeur, P
CCECE 2003: CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-3, PROCEEDINGS: TOWARD A CARING AND HUMANE TECHNOLOGY, 2003, : 1347 - 1350
[50] Stereo vision-based forward obstacle detection
Jung, H. G.
Lee, Y. H.
Kim, B. J.
Yoon, P. J.
Kim, J. H.
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2007, 8 (04) : 493 - 504

← 1 2 3 4 5 →