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Proceedings Paper

Modeling background variation for automated surface inspection of flat rolled metals
Author(s): Robert C. Chang; Nabeel W.H. Sufi; Christopher W. Carroll
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Paper Abstract

Surface inspection systems are being increasingly employed at high speed metal rolling mills for on-line real-lime detection of defects represented by variations from normal background. Detection algorithms typically involving ifitering and thresholding are used to segregate coil surface defects. Wear and deformation of work rolls used in rolling bring about gradual changes in the normal background. Consequently inspection systems must be capable of adapting to changing background conditions. The present paper proposes an engineering approach of threshold adjustment for background variations.

Paper Details

Date Published: 1 November 1990
PDF: 9 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23548
Show Author Affiliations
Robert C. Chang, ALCOA (United States)
Nabeel W.H. Sufi, ALCOA (United States)
Christopher W. Carroll, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, Editor(s)

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