3D SAPIV particle field reconstruction method based on adaptive threshold

Qu Xiangju; Song Yang; Jin Ying; Li Zhenhua; Wang Xuezhen; Guo ZhenYan; Ji Yunjing; He Anzhi

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3D SAPIV particle field reconstruction method based on adaptive threshold

机译：基于自适应阈值的3D SAPIV粒子场重建方法

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Particle image velocimetry (PIV) is a necessary flow field diagnostic technique that provides instantaneous velocimetry information non-intrusively. Three-dimensional (3D) PIV methods can supply the full understanding of a 3D structure, the complete stress tensor, and the vorticity vector in the complex flows. In synthetic aperture particle image velocimetry (SAPIV), the flow field can be measured with large particle intensities from the same direction by different cameras. During SAPIV particle reconstruction, particles are commonly reconstructed by manually setting a threshold to filter out unfocused particles in the refocused images. In this paper, the particle intensity distribution in refocused images is analyzed, and a SAPIV particle field reconstruction method based on an adaptive threshold is presented. By using the adaptive threshold to filter the 3D measurement volume integrally, the three-dimensional location information of the focused particles can be reconstructed. The cross correlations between images captured from cameras and images projected by the reconstructed particle field are calculated for different threshold values. The optimal threshold is determined by cubic curve fitting and is defined as the threshold value that causes the correlation coefficient to reach its maximum. The numerical simulation of a 16-camera array and a particle field at two adjacent time events quantitatively evaluates the performance of the proposed method. An experimental system consisting of a camera array of 16 cameras was used to reconstruct the four adjacent frames in a vortex flow field. The results show that the proposed reconstruction method can effectively reconstruct the 3D particle fields. (C) 2018 Optical Society of America

机译：粒子图像VELOCIMETRY（PIV）是必要的流场诊断技术，其不侵入瞬时测速信息。三维（3D）PIV方法可以充分了解复杂流动中的3D结构，完全应力张量和涡度向量。在合成孔径粒子图像速度（SAPIV）中，流场可以通过不同的相机从相同方向的大粒子强度测量。在SAPIV颗粒重建期间，通常通过手动设定阈值来滤除切断图像中未聚焦的粒子的阈值来重建粒子。在本文中，分析了再折合图像中的粒子强度分布，并且呈现了基于自适应阈值的SAPIV粒子场重建方法。通过使用自适应阈值整体过滤3D测量体积，可以重建聚焦粒子的三维位置信息。针对不同的阈值计算从摄像机捕获的图像和由重建的粒子字段投影的图像之间的横相关。通过立方曲线拟合确定最佳阈值，并且被定义为导致相关系数达到其最大值的阈值。两个相邻时间事件的16相机阵列的数值模拟和两个相邻时间事件的粒子场定量评估所提出的方法的性能。由16个摄像机的相机阵列组成的实验系统用于重建涡流流场中的四个相邻框架。结果表明，所提出的重建方法可以有效地重建3D粒子领域。（c）2018年光学学会

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来源
《Applied optics》 |2018年第7期|共12页
作者
Qu Xiangju; Song Yang; Jin Ying; Li Zhenhua; Wang Xuezhen; Guo ZhenYan; Ji Yunjing; He Anzhi;
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作者单位

Nanjing Univ Sci &

Technol Dept Informat Phys &

Engn Nanjing 210094 Jiangsu Peoples R China;

Nanjing Univ Sci &

Technol Dept Informat Phys &

Engn Nanjing 210094 Jiangsu Peoples R China;

Nanjing Univ Sci &

Technol Dept Informat Phys &

Engn Nanjing 210094 Jiangsu Peoples R China;

Nanjing Univ Sci &

Technol Dept Informat Phys &

Engn Nanjing 210094 Jiangsu Peoples R China;

Nanjing Univ Sci &

Technol Dept Informat Phys &

Engn Nanjing 210094 Jiangsu Peoples R China;

Nanjing Univ Sci &

Technol Sch Elect &

Opt Engn Nanjing 210094 Jiangsu Peoples R China;

Nanjing Univ Sci &

Technol Dept Informat Phys &

Engn Nanjing 210094 Jiangsu Peoples R China;

Nanjing Univ Sci &

Technol Dept Informat Phys &

Engn Nanjing 210094 Jiangsu Peoples R China;

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3D SAPIV particle field reconstruction method based on adaptive threshold

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