Computer vision metrology via grazing-incidence imaging

J. L. Pracht; Ravi Durvasula; Warren H. Stevenson

doi:10.1117/12.141371

24 February 1993 Computer vision metrology via grazing-incidence imaging

J. L. Pracht, Ravi Durvasula, Warren H. Stevenson

Proceedings Volume 1820, Videometrics; (1993) https://doi.org/10.1117/12.141371
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

J. L. Pracht, Ravi Durvasula, and Warren H. Stevenson "Computer vision metrology via grazing-incidence imaging", Proc. SPIE 1820, Videometrics, (24 February 1993); https://doi.org/10.1117/12.141371

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