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Proceedings Paper

Morphological image processing for automated metal strip inspection
Author(s): Toni Laitinen; Olli Silven; Matti Pietikaeinen
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Paper Abstract

This paper describes the morphological methods used in a prototype for an automated visual on-line metal strip inspection system. 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. Mathematical morphology is used for the preprocessing and segmentation of images. This approach is powerful because the metal strip defects cannot be discriminated from the defecfless background by their contrast alone but only by reference to their shape and size as well. The algorithms have been mapped onto commercial hardware modules.

Paper Details

Date Published: 1 November 1990
PDF: 10 pages
Proc. SPIE 1350, Image Algebra and Morphological Image Processing, (1 November 1990); doi: 10.1117/12.23592
Show Author Affiliations
Toni Laitinen, Univ. of Oulu (Finland)
Olli Silven, Univ. of Oulu (Finland)
Matti Pietikaeinen, Univ. of Oulu (Finland)


Published in SPIE Proceedings Vol. 1350:
Image Algebra and Morphological Image Processing
Paul D. Gader, Editor(s)

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