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Title: Real time automated inspection

Abstract

A method and apparatus relating to the real time automatic detection and classification of characteristic type surface imperfections occurring on the surfaces of material of interest such as moving hot metal slabs produced by a continuous steel caster. A data camera transversely scans continuous lines of such a surface to sense light intensities of scanned pixels and generates corresponding voltage values. The voltage values are converted to corresponding digital values to form a digital image of the surface which is subsequently processed to form an edge-enhanced image having scan lines characterized by intervals corresponding to the edges of the image. The edge-enhanced image is thresholded to segment out the edges and objects formed by the edges are segmented out by interval matching and bin tracking. Features of the objects are derived and such features are utilized to classify the objects into characteristic type surface imperfections.

Inventors:
 [1];  [2];  [1];  [3];  [4];  [1]
  1. (Minneapolis, MN)
  2. (Saint Paul, MN)
  3. (Plymouth, MN)
  4. (New Brighton, MN)
Issue Date:
Research Org.:
Honeywell Inc. (Minneapolis, MN)
OSTI Identifier:
865463
Patent Number(s):
4519041
Assignee:
Honeywell Inc. (Minneapolis, MN) IDO
DOE Contract Number:  
FC07-79CS40242
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
time; automated; inspection; method; apparatus; relating; automatic; detection; classification; characteristic; type; surface; imperfections; occurring; surfaces; material; moving; hot; metal; slabs; produced; continuous; steel; caster; data; camera; transversely; scans; lines; sense; light; intensities; scanned; pixels; generates; corresponding; voltage; values; converted; digital; form; image; subsequently; processed; edge-enhanced; scan; characterized; intervals; edges; thresholded; segment; formed; segmented; interval; matching; bin; tracking; features; derived; utilized; classify; surface imperfections; light intensities; digital values; hot metal; digital image; scan line; time automated; surface imperfection; moving hot; voltage value; automated inspection; automatic detection; digital value; /382/700/

Citation Formats

Fant, Karl M., Fundakowski, Richard A., Levitt, Tod S., Overland, John E., Suresh, Bindinganavle R., and Ulrich, Franz W. Real time automated inspection. United States: N. p., 1985. Web.
Fant, Karl M., Fundakowski, Richard A., Levitt, Tod S., Overland, John E., Suresh, Bindinganavle R., & Ulrich, Franz W. Real time automated inspection. United States.
Fant, Karl M., Fundakowski, Richard A., Levitt, Tod S., Overland, John E., Suresh, Bindinganavle R., and Ulrich, Franz W. Tue . "Real time automated inspection". United States. https://www.osti.gov/servlets/purl/865463.
@article{osti_865463,
title = {Real time automated inspection},
author = {Fant, Karl M. and Fundakowski, Richard A. and Levitt, Tod S. and Overland, John E. and Suresh, Bindinganavle R. and Ulrich, Franz W.},
abstractNote = {A method and apparatus relating to the real time automatic detection and classification of characteristic type surface imperfections occurring on the surfaces of material of interest such as moving hot metal slabs produced by a continuous steel caster. A data camera transversely scans continuous lines of such a surface to sense light intensities of scanned pixels and generates corresponding voltage values. The voltage values are converted to corresponding digital values to form a digital image of the surface which is subsequently processed to form an edge-enhanced image having scan lines characterized by intervals corresponding to the edges of the image. The edge-enhanced image is thresholded to segment out the edges and objects formed by the edges are segmented out by interval matching and bin tracking. Features of the objects are derived and such features are utilized to classify the objects into characteristic type surface imperfections.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1985},
month = {1}
}

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