Magnetic imaging and machine vision NDT for the on-line inspection of stainless steel strips
Open accessAbstract
An on-line inspection system for stainless steel strips has been developed on an annealing and pickling line at the Acciai Speciali Terni S.p.A. steel mill. Besides a machine vision apparatus, the system contextually exploits a magnetic imaging system designed and realized for the specific application. The main goal of the research is represented by the fusion of the information provided by the two apparatuses that can improve the detection and classification tasks by enlarging the set of detectable defects. In this paper, the development, the calibration and the characteristics of the magnetic imaging apparatus are detailed and experimental results obtained both in laboratory and in situ are reported. A comparative analysis of the performances of the two devices is also reported based on preliminary results and some conclusions and perspectives are drawn.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Median filters have the best performance on the suppression of salt and pepper noise, and Gaussian filter and Wiener filter have better effects on Gaussian noise.
“Among them, it is proved that the median filters have the best performance on the suppression of salt and pepper noise, and the Gaussian filter and Wiener filter have better effects on Gaussian noise.”
From Automated Visual Defect Classification for Flat Steel Surface: A Survey (2020) · cites this paper as [55]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Classification and Regression Trees.
Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,834 · see citing works
Nonlinear total variation based noise removal algorithms
Rudin, L., Osher, S., & Fatemi, E. (1992) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(92)90242-f · Cited by 17,089 · see citing works
Digital Image Processing Using MATLAB
González, R. C., Woods, R. E., & Eddins, S. L. (2003) · Cited by 7,014 · see citing works
Extrapolation, Interpolation, and Smoothing of Stationary Time Series
Wiener, N. (1949) · The MIT Press eBooks · doi:10.7551/mitpress/2946.001.0001 · Cited by 4,829 · see citing works
The Split Bregman Method for L1-Regularized Problems
Goldstein, T., & Osher, S. (2009) · SIAM Journal on Imaging Sciences · doi:10.1137/080725891 · Cited by 4,243 · see citing works
Multisensor Image Fusion Using the Wavelet Transform
Li, H., Manjunath, B. S., & Mitra, S. (1995) · Graphical Models and Image Processing · doi:10.1006/gmip.1995.1022 · Cited by 1,576 · see citing works
Multi-sensor image fusion using the wavelet transform
Li, H., Manjunath, B. S., & Mitra, S. K. (2002) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.1994.413273 · Cited by 1,515 · see citing works
A wavelet-based image fusion tutorial
Pájares, G., & García, J. M. D. L. C. (2004) · Pattern Recognition · doi:10.1016/j.patcog.2004.03.010 · Cited by 1,368 · see citing works
Widrow, B. C., & Kollár, I. (2002) · Cited by 200 · see citing works
Thess, A. D., Votyakov, E. V., & Kolesnikov, Y. B. (2006) · Physical Review Letters · doi:10.1103/physrevlett.96.164501 · Cited by 191 · see citing works
Residual magnetic field sensing for stress measurement
Wilson, J. W., Tian, G. Y., & Barrans, S. (2006) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2006.08.010 · Cited by 185 · see citing works
Numerical simulation on magnetic flux leakage evaluation at high speed
Li, Y., Tian, G. Y., & Ward, S. (2005) · NDT & E International · doi:10.1016/j.ndteint.2005.10.006 · Cited by 150 · see citing works
Advanced signal processing of magnetic flux leakage data obtained from seamless gas pipeline
Afzal, M., & Udpa, S. S. (2002) · NDT & E International · doi:10.1016/s0963-8695(02)00024-5 · Cited by 147 · see citing works
Mumtaz, K., Takahashi, S., Echigoya, J., Kamada, Y., Zhang, L. F., Kikuchi, H., Ara, K., & Sato, M. (2003) · Journal of Materials Science · doi:10.1023/b:jmsc.0000007731.38154.e1 · Cited by 121 · see citing works
Machine Vision/GPS Integration Using EKF for the UAV Aerial Refueling Problem
Mammarella, M., Campa, G., Napolitano, M. R., Fravolini, M. L., Gu, Y., & Perhinschi, M. G. (2008) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2008.2001693 · Cited by 100 · see citing works
Self-citationSimulation Environment for Machine Vision Based Aerial Refueling for UAVs
Campa, G., Napolitano, M. R., & Fravolini, M. L. (2009) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2009.4805269 · Cited by 62 · see citing works
Self-citationSingh, W. S., Rao, B. P. C., Vaidyanathan, S., Jayakumar, T., & Raj, B. (2007) · Measurement Science and Technology · doi:10.1088/0957-0233/19/1/015702 · Cited by 60 · see citing works
Residual Magnetic Flux Leakage: A Possible Tool for Studying Pipeline Defects
Babbar, V. K., & Clapham, L. (2003) · Journal of Nondestructive Evaluation · doi:10.1023/b:jone.0000022031.16580.5a · Cited by 59 · see citing works
Vincent, A., Pasco, L., Morin, M., Kléber, X., & Delnondedieu, M. (2005) · Acta Materialia · doi:10.1016/j.actamat.2005.06.016 · Cited by 57 · see citing works
Identification of surface features on cold-rolled stainless steel strip
Ahmed, R., & Sutcliffe, M. P. F. (2000) · Wear · doi:10.1016/s0043-1648(00)00442-7 · Cited by 56 · see citing works
Mumtaz, K., Takahashi, S., Echigoya, J., Kamada, Y., Zhang, L., Kikuchi, H., Ara, K., & Sato, M. (2004) · Journal of Materials Science · doi:10.1023/b:jmsc.0000017761.64839.fc · Cited by 55 · see citing works
Flexible GMR Sensor Array for Magnetic Flux Leakage Testing of Steel Track Ropes
Singh, W. S., Rao, B. P. C., Thirunavukkarasu, S., & Jayakumar, T. (2012) · Journal of Sensors · doi:10.1155/2012/129074 · Cited by 52 · see citing works
Lee, J., Hwang, J.-S., Jun, J., & Choi, S. (2008) · Journal of Mechanical Science and Technology · doi:10.1007/s12206-008-0908-5 · Cited by 42 · see citing works
3D simulation of velocity induced fields for nondestructive evaluation application
Yang, S., Sun, Y., Удпа, Л., Udpa, S. S., & Lord, W. (1999) · IEEE Transactions on Magnetics · doi:10.1109/20.767369 · Cited by 34 · see citing works
Magnetic design optimization and objective function approximation
Canova, A., Gruosso, G., & Repetto, M. (2003) · IEEE Transactions on Magnetics · doi:10.1109/tmag.2003.817076 · Cited by 31 · see citing works
Review of industrial applications of wavelet and multiresolution-based signal and image processing
Truchetet, F., & Laligant, O. (2008) · Journal of Electronic Imaging · doi:10.1117/1.2957606 · Cited by 29 · see citing works
Multi-modal defect detection of residual oxide scale on a cold stainless steel strip
Martín, D., Guinea, D., García‐Alegre, M. C., Villanueva, E., & Guinea, D. (2010) · Machine Vision and Applications · doi:10.1007/s00138-010-0260-5 · Cited by 28 · see citing works
Galois sequences in the non-destructive evaluation of metallic materials
Burrascano, P., Carpentieri, M., Pirani, A., & Ricci, M. (2006) · Measurement Science and Technology · doi:10.1088/0957-0233/17/11/017 · Cited by 27 · see citing works
Self-citationMulti-frequency identification of defects in conducting media
Pirani, A., Ricci, M., Specogna, R., Tamburrino, A., & Trevisan, F. (2008) · Inverse Problems · doi:10.1088/0266-5611/24/3/035011 · Cited by 23 · see citing works
Self-citationHigh-resolution giant magnetoresistance on-chip arrays for magnetic imaging
Smith, C. H., Schneider, R. W., & Pohm, A. V. (2003) · Journal of Applied Physics · doi:10.1063/1.1558248 · Cited by 21 · see citing works
Yin, W., Li, X., Withers, P. J., & Peyton, A. J. (2010) · Measurement Science and Technology · doi:10.1088/0957-0233/21/10/105708 · Cited by 19 · see citing works
Modelling and performance analysis of a machine vision-based semi-autonomous aerial refuelling
Fravolini, M. L., Campa, G., & Napolitano, M. R. (2008) · International Journal of Modelling Identification and Control · doi:10.1504/ijmic.2008.020544 · Cited by 10 · see citing works
Self-citationTime domain deconvolution approach relying on Galois sequences
Burrascano, P., Carpentieri, M., Pirani, A., Ricci, M., & Tissi, F. (2007) · COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering · doi:10.1108/03321640710727737 · Cited by 8 · see citing works
Self-citationOota, A., Miyake, K., Sugiyama, D., & Aoki, H. (2001) · Journal of Nondestructive Evaluation · doi:10.1023/a:1013552504834 · Cited by 6 · see citing works
Analysis of the frequency-domain Wiener filter with the prediction gain
Chen, J., Benesty, J., & Huang, Y. A. (2010) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2010.5496034 · Cited by 3 · see citing works
Non-destructive Control of Metallic Plate with Magnetic Techniques
Battaglini, L., Burrascano, P., Canova, A., Ficili, F., Ricci, M., Rossi, D., & Sciacca, F. (2011) · Lecture notes in electrical engineering · doi:10.1007/978-3-642-17943-3_5 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
1 of the 37 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Research Progress of Automated Visual Surface Defect Detection for Industrial Metal Planar Materials
Fang, X., Luo, Q., Zhou, B., Li, C., & Tian, L. (2020) · Sensors · doi:10.3390/s20185136 · Cited by 166 · see citing works
Automated Visual Defect Classification for Flat Steel Surface: A Survey
Luo, Q., Fang, X., Su, J., Zhou, J., Zhou, B., Yang, C., Liu, L., Gui, W., & Tian, L. (2020) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2020.3030167 · Cited by 148 · see citing works
Zhang, D., Zhang, E., & Pan, S. (2020) · NDT & E International · doi:10.1016/j.ndteint.2020.102299 · Cited by 38 · see citing works
Li, Z., Li, B., Ni, H., Ren, F., Lv, S., & Kang, X. (2022) · Metals · doi:10.3390/met12111809 · Cited by 23 · see citing works
Three-Dimensional Surface-Shape Measurement of Moving Billets Using Phase-Shifting Profilometry
He, Q., Zheng, Z., Zhang, B., Wei, W., & Meng, H. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3406820 · Cited by 17 · see citing works
Li, N., Liu, K., Yang, X., & Cao, M. (2016) · Journal of Sensors · doi:10.1155/2016/7390470 · Cited by 14 · see citing works
Curie temperature and high temperature behavior of Pb(Zr,Ti)O 3 /Pb(Zr,Ti)O 3 sol–gel composites
Fujimoto, S., Namihira, T., Iwata, K., & Kobayashi, M. (2015) · Japanese Journal of Applied Physics · doi:10.7567/jjap.54.07hb04 · Cited by 12 · see citing works
Wei, B., Wen, S., Peng, L., Zhang, J., Han, Z., & Huang, S. (2024) · Measurement Science and Technology · doi:10.1088/1361-6501/ad9bd7 · Cited by 11 · see citing works
Ryu, S.-G., Koo, G., & Kim, S. W. (2020) · ISIJ International · doi:10.2355/isijinternational.isijint-2019-464 · Cited by 9 · see citing works
Research on machine vision system of monitoring injection molding processing
Bai, F., Zheng, H., Wang, Y., Wang, C., & Liao, S. (2016) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2211310 · Cited by 6 · see citing works
Automatic Detection System of Surface Defects on Metal Film Resistors Based on Machine Vision
Ke, J., Hu, Y., Wen, J., & Mao, L.-W. (2015) · IEEE International Conference on Industrial Engineering and Engineering Management · doi:10.2991/978-94-6239-102-4_84 · Cited by 1 · see citing works
- Authors
- Ricci, M., Ficola, A., Fravolini, M. L., Battaglini, L., Palazzi, A., Burrascano, P., Valigi, P., Appolloni, L., Cervo, S., & Rocchi, C.
- Affiliations
- University of Perugia (IT)
- Acciai Speciali Terni (Italy) (IT)
- Corresponding author
- Ricci, M
- Venue
- Measurement Science and Technology
- Publisher
- IOP Publishing
- Published
- 2012-12-21
- Volume
- 24
- Issue
- 2
- Pages
- 025401
- ISSN
- 0957-0233 (ISSN-L)
- 1361-6501
- OpenAlex
- W1975617938
- Cited by
- 11
- References
- 37
- Citations by year
- 2024: 2 · 2022: 1 · 2020: 4 · 2016: 2 · 2015: 2
- FWCI
- 0.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Measurement Science and Technology (publishedVersion)
- Archive of Doctoral Theses and Digital Collections (University of Calabria) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Engineering › Mechanics of Materials › Thermography and Photoacoustic Techniques
- Keywords
- magnetic imaging, machine vision, non-destructive testing, online inspection, stainless steel strip, defect detection, defect classification, data fusion
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
