Improved accuracy in laser triangulation by variance-stabilizing transformations

Hendrik Rothe; Mario Tuerschmann; Peter P. Mager; Rainer Endter

doi:10.1117/12.57691

1 July 1992 Improved accuracy in laser triangulation by variance-stabilizing transformations

Hendrik Rothe, Mario Tuerschmann, Peter P. Mager, Rainer Endter

Author Affiliations +

Optical Engineering, Vol. 31, Issue 7, (July 1992). https://doi.org/10.1117/12.57691

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.

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Hendrik Rothe, Mario Tuerschmann, Peter P. Mager, and Rainer Endter "Improved accuracy in laser triangulation by variance-stabilizing transformations," Optical Engineering 31(7), (1 July 1992). https://doi.org/10.1117/12.57691

Published: 1 July 1992

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