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This paper describes an inspection system designed to automatically detect and classify surface imperfections occurring on continuously cast hot steel slabs in a steel mill. The need to perform inspection at real-time throughput rates of 546 Kpixels/s using off-the-shelf components has led to the development of a unique architecture and algorithm set. The segmentation operations are done in a high-speed array processor front end. The imperfection classification is done in a mini-computer which uses statistical as well as syntactic/semantic classification techniques. The inspection system is currently undergoing evaluation in a steel mill.
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B.R. Suresh
University of Minnesota
Richard Fundakowski
University of Minnesota
Tod S. Levitt
Decision Systems (United States)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Honeywell (United States)
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Suresh et al. (Tue,) studied this question.
synapsesocial.com/papers/6a1c6ae90e2acd31eb2fbe41 — DOI: https://doi.org/10.1109/tpami.1983.4767445
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