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Optical Engineering

Improved accuracy in laser triangulation by variance-stabilizing transformations
Author(s): Hendrik Rothe; Mario Tuerschmann; Peter P. Mager; Rainer Endter
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Paper Abstract

The definition of laser triangulation imaging is above all restricted by speckle noise corrupting the signals of the widely used CCD-line or matrix sensors. Speckle noise can be reduced by certain optical means or signal processing. In the field of signal processing for laser triangulation, a lot of different interpolation approaches are in common use. Regarding laser triangulation imaging as a stochastic process the variance of the corrupted data can be stabilized using principal component analysis. Subsequent nonlinear regressions yield a remarkable improvement in accuracy. The approach can be recommended if the data set is consistent and the required additional number crunching power can be provided in real time.

Paper Details

Date Published: 1 July 1992
PDF: 8 pages
Opt. Eng. 31(7) doi: 10.1117/12.57691
Published in: Optical Engineering Volume 31, Issue 7
Show Author Affiliations
Hendrik Rothe, Friedrich-Schiller-Universitae (Germany)
Mario Tuerschmann, Friedrich-Schiller University Jena (Germany)
Peter P. Mager, University of Leipzig (Germany)
Rainer Endter, Friedrich-Schiller University Jena (Germany)

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