Automated visual inspection of rolled metal surfaces

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

    Research output: Contribution to journalArticleScientificpeer-review

    35 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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