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Assessment of radial image distortion and spherical aberration on 3D synthetic aperture PIV measurements

机译:在3D合成孔径PIV测量中评估径向图像畸变和球差

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This paper presents a study of the effects of radial image distortion and spherical aberration on reconstruction quality of synthetic aperture particle image velocimetry (SAPIV). A simulated SAPIV system is used to image a synthetic particle volume. An idealized pinhole camera model is used for image formation with distortion and spherical aberration being added on with a polynomial model and a Fourier waveform model, respectively. Images from a simulated 5 × 5 camera array are taken, distorted or aberrated, realigned and averaged to form synthetic aperture images at a set of depths within the seeded volume. These images are thresholded to recover three-dimensional (3D) particle locations and a reconstructed 3D intensity field is formed. This reconstructed field is then evaluated according to intensity data and a signal-to-noise ratio (SNR) as well as standard and rank correlation metrics. Results show that even small amounts of image distortion and spherical aberration can lead to lower correlation values, degradation of the SNR and information loss. Use of rank correlation increases the ability to match elements between the synthetic and reconstructed volumes relative to standard correlation.
机译:本文介绍了径向图像畸变和球差对合成孔径粒​​子图像测速仪(SAPIV)重建质量的影响的研究。模拟的SAPIV系统用于对合成颗粒体积进行成像。理想的针孔相机模型用于图像形成,并分别在多项式模型和傅立叶波形模型上添加了畸变和球差。对来自模拟的5×5相机阵列的图像进行拍摄,失真或像差,重新对齐和平均,以在播种体积内的一组深度处形成合成光圈图像。对这些图像设定阈值以恢复三维(3D)粒子位置,并形成重建的3D强度场。然后根据强度数据和信噪比(SNR)以及标准和秩相关度量来评估此重构场。结果表明,即使少量的图像失真和球差也会导致较低的相关值,SNR降低和信息丢失。等级相关性的使用提高了相对于标准相关性在合成和重建体积之间匹配元素的能力。

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