Automated visual inspection of rolled metal surfaces

Timo Piironen, Olli Silven, Matti Pietikäinen, Toni Laitinen, Esko Strömmer

Research output: Contribution to journalArticleScientificpeer-review

26 Citations (Scopus)

Abstract

A prototype for an automated visual on-line metal strip inspection system is described. The system is capable of both detecting and classifying surface defects in copper alloy strips, and it has been installed for evaluation in a production line in a rolling mill. The image acquisition part of the system is based on a CCD line scan camera and condensing bright field illuminators. The inspection algorithms are based on morphological preprocessing and combined statistical and structural defect recognition. The image processing hardware consists of commercial modules. An analysis of this implementation is presented. A similar inspection principle has also been successfully applied to steel strip inspection.
Original languageEnglish
Pages (from-to)247-254
JournalMachine Vision and Applications
Volume3
Issue number4
DOIs
Publication statusPublished - 1990
MoE publication typeA1 Journal article-refereed

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Inspection
Metals
Strip metal
Image acquisition
Copper alloys
Surface defects
Rolling mills
Charge coupled devices
Image processing
Cameras
Hardware
Defects
Steel

Cite this

Piironen, Timo ; Silven, Olli ; Pietikäinen, Matti ; Laitinen, Toni ; Strömmer, Esko. / Automated visual inspection of rolled metal surfaces. In: Machine Vision and Applications. 1990 ; Vol. 3, No. 4. pp. 247-254.
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abstract = "A prototype for an automated visual on-line metal strip inspection system is described. The system is capable of both detecting and classifying surface defects in copper alloy strips, and it has been installed for evaluation in a production line in a rolling mill. The image acquisition part of the system is based on a CCD line scan camera and condensing bright field illuminators. The inspection algorithms are based on morphological preprocessing and combined statistical and structural defect recognition. The image processing hardware consists of commercial modules. An analysis of this implementation is presented. A similar inspection principle has also been successfully applied to steel strip inspection.",
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Piironen, T, Silven, O, Pietikäinen, M, Laitinen, T & Strömmer, E 1990, 'Automated visual inspection of rolled metal surfaces', Machine Vision and Applications, vol. 3, no. 4, pp. 247-254. https://doi.org/10.1007/BF01211850

Automated visual inspection of rolled metal surfaces. / Piironen, Timo; Silven, Olli; Pietikäinen, Matti; Laitinen, Toni; Strömmer, Esko.

In: Machine Vision and Applications, Vol. 3, No. 4, 1990, p. 247-254.

Research output: Contribution to journalArticleScientificpeer-review

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T1 - Automated visual inspection of rolled metal surfaces

AU - Piironen, Timo

AU - Silven, Olli

AU - Pietikäinen, Matti

AU - Laitinen, Toni

AU - Strömmer, Esko

PY - 1990

Y1 - 1990

N2 - A prototype for an automated visual on-line metal strip inspection system is described. The system is capable of both detecting and classifying surface defects in copper alloy strips, and it has been installed for evaluation in a production line in a rolling mill. The image acquisition part of the system is based on a CCD line scan camera and condensing bright field illuminators. The inspection algorithms are based on morphological preprocessing and combined statistical and structural defect recognition. The image processing hardware consists of commercial modules. An analysis of this implementation is presented. A similar inspection principle has also been successfully applied to steel strip inspection.

AB - A prototype for an automated visual on-line metal strip inspection system is described. The system is capable of both detecting and classifying surface defects in copper alloy strips, and it has been installed for evaluation in a production line in a rolling mill. The image acquisition part of the system is based on a CCD line scan camera and condensing bright field illuminators. The inspection algorithms are based on morphological preprocessing and combined statistical and structural defect recognition. The image processing hardware consists of commercial modules. An analysis of this implementation is presented. A similar inspection principle has also been successfully applied to steel strip inspection.

U2 - 10.1007/BF01211850

DO - 10.1007/BF01211850

M3 - Article

VL - 3

SP - 247

EP - 254

JO - Machine Vision and Applications

JF - Machine Vision and Applications

SN - 0932-8092

IS - 4

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