Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Special purpose computer for digital holographic particle tracking velocimetry

Open Access Open Access

Abstract

We have designed a special purpose computer system for digital holographic particle tracking velocimetry (DHPTV). We present the pipeline for calculating the intensity of an object from a hologram by fast Fourier transform in an FPGA chip. This system uses four FPGA chips and can make 100 reconstructed images from a 256×256-grid hologram in 266 msec. It is expected that this system will improve the efficiency of analysis in DHPTV.

©2006 Optical Society of America

Full Article  |  PDF Article
More Like This
Special purpose computer system for flow visualization using holography technology

Yukio Abe, Nobuyuki Masuda, Hideaki Wakabayashi, Yuta Kazo, Tomoyoshi Ito, Shin-ichi Satake, Tomoaki Kunugi, and Kazuho Sato
Opt. Express 16(11) 7686-7692 (2008)

Parallel computing of a digital hologram and particle searching for microdigital-holographic particle-tracking velocimetry

Shin-ichi Satake, Hiroyuki Kanamori, Tomoaki Kunugi, Kazuho Sato, Tomoyoshi Ito, and Keisuke Yamamoto
Appl. Opt. 46(4) 538-543 (2007)

Direct measurement of particle size and 3D velocity of a gas–solid pipe flow with digital holographic particle tracking velocimetry

Yingchun Wu, Xuecheng Wu, Longchao Yao, Gérard Gréhan, and Kefa Cen
Appl. Opt. 54(9) 2514-2523 (2015)

Supplementary Material (1)

Media 1: MOV (1995 KB)     

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.

Alert me when this article is cited.


Figures (5)

Fig. 1.
Fig. 1. Block diagram of the FFT-HORN pipeline
Fig. 2.
Fig. 2. Top view of HORN-5 board
Fig. 3.
Fig. 3. Fringe images of simulated system: (a) 1024 × 1024-grid image of whole system, (b) 256 × 256-grid image of area indicated by white square in (a).
Fig. 4.
Fig. 4. Comparison between the reconstructed images made (a) by the PC and (b) by FFT-HORN.
Fig. 5.
Fig. 5. (2.0MB)Movie of reconstructed partciles flow. [Media 1]

Tables (1)

Tables Icon

Table 1. Comparison between the calculation time of FFT-HORN and a personal computer.

Equations (7)

Equations on this page are rendered with MathJax. Learn more.

ϕ x i y i z i = 1 N 2 N 2 N 2 N 2 I α exp ( ikr αi ) r αi dx α dy α ,
r αi = ( x α x i ) 2 + ( y α y i ) 2 + z i 2 ,
ϕ x i y i z i exp ( ik z i ) z i N 2 N 2 N 2 N 2 I α exp [ ik 2 z i { ( x α x i ) 2 + ( y α y i ) 2 } ] dx α dy α .
g ( x i x α , y i y α ) = exp ( ikz i ) iλz i exp [ ik 2 z i { ( x α x i ) 2 + ( y α y i ) 2 } ] .
ϕ x i y i z i = N 2 N 2 N 2 N 2 I x α y α g x i x α y i y α dx α dy α .
Φ n m = I ̂ n m G n m
G n m = exp [ iπz i { 2 λ λ ( n N Δ x α + N Δ x α 2 z i λ ) 2 λ ( m N Δ y α + N Δ y α 2 z i λ ) 2 } ]
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.