Paper
30 January 2012 Novel time- and depth-stamped imaging for 3D-PIV (particle image velocimetry) using correlation image sensor
Kenji Komiya, Toru Kurihara, Shigeru Ando
Author Affiliations +
Proceedings Volume 8290, Three-Dimensional Image Processing (3DIP) and Applications II; 829015 (2012) https://doi.org/10.1117/12.907863
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
We propose a novel and extremely efficient scheme of 3D-Particle Image Velocimetry (3D-PIV), simultaneous time-stamped and depth-stamped imaging, using correlation image sensor (CIS) and a structured illumination. In conventional PIV measurements, 3-D positions of numerous tiny particles inserted in a fluid field must be detected using multiple high-speed cameras. Resultant huge amount of data volume increases the computational cost and reduces the reliability of velocity field estimation. These problems can be solved if a single-frame 4D (3D position and time) trajectory imaging can be realized. The CIS developed by us is the device which outputs the temporal correlation between incident light intensity and two sets of three-phase (3P) reference signal common for whole pixels. When particles are imaged in a frame using a 3P reference signal, CIS records the time information as a phase distribution along their trajectories. CIS can also capture the depth information by exploiting the structured illumination and another 3P reference signal. Combination of these methods provides the time- and depth-stamped imaging. We describe the principle, theoretical foundations, and analysis algorithms. Several experimental results for evaluating accuracy and resolution are shown.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kenji Komiya, Toru Kurihara, and Shigeru Ando "Novel time- and depth-stamped imaging for 3D-PIV (particle image velocimetry) using correlation image sensor", Proc. SPIE 8290, Three-Dimensional Image Processing (3DIP) and Applications II, 829015 (30 January 2012); https://doi.org/10.1117/12.907863
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KEYWORDS
Particles

Image sensors

Modulation

Velocity measurements

Light sources

Cameras

3D image processing

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