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Proceedings Paper

Computer vision metrology via grazing-incidence imaging
Author(s): J. L. Pracht; Ravi Durvasula; Warren H. Stevenson
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Paper Abstract

A personal computer based vision metrology system for non-contact measurement of nominally two-dimensional parts has been developed. Through use of the reflected image resulting from light incident at grazing incidence, it is possible to determine the correct dimensions even if burrs or other manufacturing defects are present on the end of the part. Thus the system can, for example, define the complete profile of short samples cut from a long aluminum extrusion without special sample preparation before measurement. In this paper the application of the technique to circular tubes is described in some detail and factors involved in its extension to more complex shapes are discussed.

Paper Details

Date Published: 24 February 1993
PDF: 10 pages
Proc. SPIE 1820, Videometrics, (24 February 1993); doi: 10.1117/12.141371
Show Author Affiliations
J. L. Pracht, Purdue Univ. (United States)
Ravi Durvasula, Purdue Univ. (United States)
Warren H. Stevenson, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 1820:
Videometrics
Sabry F. El-Hakim, Editor(s)

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