Paper
8 March 1999 Two practical ways to avoid spurious reflections from shiny surfaces on a 3D machine vision inspection system
Daoshan Yang, Jihong Chen, Huicheng Zhou, Shawn Buckley
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daoshan Yang, Jihong Chen, Huicheng Zhou, and Shawn Buckley "Two practical ways to avoid spurious reflections from shiny surfaces on a 3D machine vision inspection system", Proc. SPIE 3652, Machine Vision Applications in Industrial Inspection VII, (8 March 1999); https://doi.org/10.1117/12.341150
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Cited by 1 scholarly publication.
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KEYWORDS
Inspection

Reflection

Machine vision

3D vision

Cameras

Prototyping

Structured light

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