Automated visual inspection of rolled metal surfaces

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

    Research output: Contribution to journalArticleScientificpeer-review

    33 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

    Fingerprint

    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.",
    author = "Timo Piironen and Olli Silven and Matti Pietik{\"a}inen and Toni Laitinen and Esko Str{\"o}mmer",
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    language = "English",
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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.

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    DO - 10.1007/BF01211850

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    JF - Machine Vision and Applications

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