Studies of different error elimination algorithms under defocusing digital fringe projection

Deng, Ji; Deng, Huaxia; Zhang, Jin; Yu, Liandong

doi:10.1117/12.2218041

Cited by 1 publication

(1 citation statement)

References 13 publications

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“…Potential sources for measurement uncertainty in the DFP method include projector gamma nonlinearity [9][10][11], projector and camera quantization effects [12][13][14], and pixel intensity noise [15][16][17][18]. Substantial work has been made to quantify and mitigate the height profile measurement error caused by non-linear projector gamma [19][20][21][22] and other publications address measurement uncertainty and mitigation caused by projector and camera quantization [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

A probability density function model describing height estimation uncertainty due to image pixel intensity noise in digital fringe projection measurements

O’Dowd

Wachtor

Todd

2021

Optics and Lasers in Engineering

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Digital fringe projection is a surface-profiling technique used for highly accurate noncontact measurements. As with any measurement technique, a variety of sources degrade to the measurement accuracy of the method. This paper presents an analytically-derived probability density function that explicitly models the surface height measurement error due to inevitable phase measurement error, and it includes the specific case of pixel noise inducing the phase measurement error that ultimately leads to the height estimation error. The accuracy of the model was validated through Monte-Carlo simulations of resultant height distributions subject to arbitrarily correlated pixel intensity noise and experimental digital fringe projection measurements where the pixel-by-pixel height uncertainty estimations were compared to the predictions of the derived model.

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