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1 November 1990 Modeling background variation for automated surface inspection of flat rolled metals
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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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert C. Chang, Nabeel W.H. Sufi, and Christopher W. Carroll "Modeling background variation for automated surface inspection of flat rolled metals", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); https://doi.org/10.1117/12.23548
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