Automated visual inspection of rolled metal surfaces

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

doi:10.1007/BF01211850

Automated visual inspection of rolled metal surfaces

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

University of Oulu

Research output: Contribution to journal › Article › Scientific › peer-review

43 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 language	English
Pages (from-to)	247-254
Journal	Machine Vision and Applications
Volume	3
Issue number	4
DOIs	https://doi.org/10.1007/BF01211850
Publication status	Published - 1990
MoE publication type	A1 Journal article-refereed

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10.1007/BF01211850

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title = "Automated visual inspection of rolled metal surfaces",

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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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

SN - 0932-8092

VL - 3

SP - 247

EP - 254

JO - Machine Vision and Applications

JF - Machine Vision and Applications

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ER -

Automated visual inspection of rolled metal surfaces

Abstract

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