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Proceedings Paper

Two practical ways to avoid spurious reflections from shiny surfaces on a 3D machine vision inspection system
Author(s): Daoshan Yang; Jihong Chen; Huicheng Zhou; Shawn Buckley
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Paper Abstract

Spurious reflection from shiny surfaces is one of the major problems in machine vision inspection systems based on triangulation of structured light. To investigate this problem, a non-contact real-time 3D machine vision inspection prototype is described. Its accuracy is +/- 2 micrometers using a structured laser light sheet imaged by a machine vision camera. To avoid the spurious reflections from shiny surfaces, two methods are investigated. In the first method, the object is scanned off-line, finding the 3- space locations of the object's surface points using standard triangulation algorithms. Next the object's surfaces are reconstructed, breaking the surfaces into various simple feature primitives such as planes, cylinders, cones and spheres. The influence of spurious reflections from shiny surfaces is eliminated by deleting those points that do not fall on the reconstructed surfaces. In the second method, a 3D datacloud density method is employed. The datacloud density of a 3D point is the number of measured points in the close vicinity of that point. Since a spurious point's datacloud density is generally lower than a correct point lying on the part's surface, the spurious points can be identified and deleted.

Paper Details

Date Published: 8 March 1999
PDF: 4 pages
Proc. SPIE 3652, Machine Vision Applications in Industrial Inspection VII, (8 March 1999); doi: 10.1117/12.341150
Show Author Affiliations
Daoshan Yang, Huazhong Univ. of Science and Technology (China)
Jihong Chen, Huazhong Univ. of Science and Technology (China)
Huicheng Zhou, Huazhong Univ. of Science and Technology (China)
Shawn Buckley, CAItech Inc. (United States)


Published in SPIE Proceedings Vol. 3652:
Machine Vision Applications in Industrial Inspection VII
Kenneth W. Tobin; Ning S. Chang, Editor(s)

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