DocumentCode :
1120527
Title :
A Real-Time Automated Visual Inspection System for Hot Steel Slabs
Author :
Suresh, Bindinganavle R. ; Fundakowski, Richard A. ; Levitt, Tod S. ; Overland, John E.
Author_Institution :
MEMBER, IEEE, Honeywell Systems and Research Center, 2600 Ridgway Parkway, Minneapolis, MN 55413.
Issue :
6
fYear :
1983
Firstpage :
563
Lastpage :
572
Abstract :
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.
Keywords :
Classification tree analysis; Cooling; Environmental economics; Humans; Inspection; Milling machines; Power generation economics; Real time systems; Slabs; Steel; Adaptive thresholding; automated visual inspection; hot steel surface inspection; metal surface inspection; pattern recognition; real-time image processing; segmentation; syntactic classification; tree classification;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1983.4767445
Filename :
4767445
Link To Document :
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