Morphological image processing for automated metal strip inspection

Toni Laitinen; Olli Silven; Matti Pietikaeinen

doi:10.1117/12.23592

1 November 1990 Morphological image processing for automated metal strip inspection

Toni Laitinen, Olli Silven, Matti Pietikaeinen

Proceedings Volume 1350, Image Algebra and Morphological Image Processing; (1990) https://doi.org/10.1117/12.23592
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

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.

Citation Download Citation

Toni Laitinen, Olli Silven, and Matti Pietikaeinen "Morphological image processing for automated metal strip inspection", Proc. SPIE 1350, Image Algebra and Morphological Image Processing, (1 November 1990); https://doi.org/10.1117/12.23592

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