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首页> 外文期刊>Optics and Lasers in Engineering >A probability density function model describing height estimation uncertainty due to image pixel intensity noise in digital fringe projection measurements
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A probability density function model describing height estimation uncertainty due to image pixel intensity noise in digital fringe projection measurements

机译：一种概率密度函数模型，描述了数字边缘投影测量中图像像素强度噪声的高度估计不确定性

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摘要

Digital fringe projection is a surface-profiling technique used for highly accurate non-contact 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.
机译：数字边缘投影是一种用于高精度的非接触式测量的表面分析技术。与任何测量技术一样，各种源降低到该方法的测量精度。本文提出了一种分析衍生的概率密度函数，其显式模拟由于不可避免的相位测量误差而模拟了表面高度测量误差，并且它包括引起最终导致高度估计误差的相位测量误差的像素噪声的特定情况。通过由所得高度分布的Monte-Carlo模拟进行验证模型的准确性，该高度分布经受任意相关的像素强度噪声和实验数字条纹投影测量，其中将像素 - 逐个像素高度不确定性估计进行了与衍生模型的预测进行了比较。

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