Quantifying and correcting for contamination of PLIF images due to background signals
Quantifying and correcting for contamination of PLIF images due to background signals
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DOI：
10.1007/s00348-013-1566-7
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发表时间：
2013-06
影响因子：
2.4
通讯作者：
V. A. Miller
中科院分区：
文献类型：
--
作者：
V. A. Miller
提出了一种定量和校正平面激光诱导荧光（PLIF）图像背反射背景信号的方法。结果表明，反射的荧光关闭后墙可以错误地提高信号在PLIF图像。这些背反射的模型，该模型被用来生成一个内核，通过直接逆滤波图像进行校正。在静态细胞中采集的PLIF图像上演示了校正方法：首先，通过阻挡光束的部分并测量图像中没有荧光的区域中的荧光信号来量化静态细胞中的背景信号;其次，通过直接逆滤波恢复未污染的信号来生成背景校正内核。最后，该方法被扩展到正确的PLIF成像的超音速流场存在大的信号梯度跨越激波。修正表明，以改善测量的预期信号水平之间的协议的超音速绕流2D钝头体的滞流线。
A method for quantifying and correcting background signals due to back reflections in planar laser-induced fluorescence (PLIF) images is presented. It is shown that reflections of fluorescence off back walls can falsely elevate the signal in a PLIF image. A model for these back reflections is presented, and this model is used to generate a kernel with which images are corrected via direct inverse filtering. The correction method is demonstrated on PLIF images acquired in a static cell: first, background signals are quantified in a static cell by blocking portions of the beam and measuring the fluorescence signal in regions of the image where there is no fluorescence; second, a background correction kernel is generated by recovering the uncontaminated signal via direct inverse filtering. Finally, the method is extended to correct PLIF imaging of supersonic flowfields where large signal gradients exist across a shock wave. The correction is shown to improve agreement between measured expected signal levels on the stagnation line of supersonic flow around a 2D blunt body.