IMPROVED ACCURACY IN LASER TRIANGULATION BY VARIANCE-STABILIZING TRANSFORMATIONS

被引：8

作者：

ROTHE, H ^{[1
]}

TUERSCHMANN, M ^{[1
]}

MAGER, PP ^{[1
]}

ENDTER, R ^{[1
]}

机构：

[1] KARL MARX UNIV LEIPZIG,INST PHARMACOL,O-7010 LEIPZIG,GERMANY

来源：

OPTICAL ENGINEERING | 1992年 / 31卷 / 07期

关键词：

LASER TRIANGULATION; SIGNAL PROCESSING; STOCHASTIC PROCESS; SPECKLE NOISE; PRINCIPAL COMPONENT ANALYSIS; VARIANCE STABILIZATION; NONLINEAR REGRESSION;

D O I：

10.1117/12.57691

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.

引用

页码：1538 / 1545

页数：8

共 10 条

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