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CCD image sensor induced error in PIV applications

机译:CCD图像传感器在PIV应用中引起的误差

摘要

The readout procedure of charge-coupled device (CCD) cameras is known to generate some image degradation in different scientific imaging fields, especially in astrophysics. In the particular field of particle image velocimetry (PIV), widely extended in the scientific community, the readout procedure of the interline CCD sensor induces a bias in the registered position of particle images. This work proposes simple procedures to predict the magnitude of the associated measurement error. Generally, there are differences in the position bias for the different images of a certain particle at each PIV frame. This leads to a substantial bias error in the PIV velocity measurement (~0.1 pixels). This is the order of magnitude that other typical PIV errors such as peak-locking may reach. Based on modern CCD technology and architecture, this work offers a description of the readout phenomenon and proposes a modeling for the CCD readout bias error magnitude. This bias, in turn, generates a velocity measurement bias error when there is an illumination difference between two successive PIV exposures. The model predictions match the experiments performed with two 12-bit-depth interline CCD cameras (MegaPlus ES 4.0/E incorporating the Kodak KAI-4000M CCD sensor with 4 megapixels). For different cameras, only two constant values are needed to fit the proposed calibration model and predict the error from the readout procedure. Tests by different researchers using different cameras would allow verification of the model, that can be used to optimize acquisition setups. Simple procedures to obtain these two calibration values are also described.
机译:已知电荷耦合器件(CCD)相机的读取过程会在不同的科学成像领域(尤其是在天体物理学中)产生一些图像退化。在科学界广泛扩展的粒子图像测速(PIV)的特定领域中,线间CCD传感器的读取过程在粒子图像的配准位置上产生了偏差。这项工作提出了简单的程序来预测相关测量误差的大小。通常,在每个PIV帧处,某个粒子的不同图像的位置偏差有所不同。这会导致PIV速度测量中出现大量偏差(〜0.1像素)。这是其他典型的PIV错误(例如峰锁定)可能达到的数量级。基于现代CCD技术和体系结构,这项工作提供了对读出现象的描述,并提出了CCD读出偏差误差幅度的模型。当两次连续的PIV曝光之间存在光照差异时,该偏差又会产生速度测量偏差误差。模型预测与使用两个12位深度行间CCD相机(装有4百万像素的柯达KAI-4000M CCD传感器的MegaPlus ES 4.0 / E)进行的实验匹配。对于不同的摄像机,仅需要两个常数即可拟合建议的校准模型并根据读出程序预测误差。由不同研究人员使用不同相机进行的测试可以验证模型,该模型可用于优化采集设置。还介绍了获得这两个校准值的简单步骤。

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