Paper
21 November 1997 Experimental study on space and time correspondence of traveling particles for three-dimensional particle image velocimetry by genetic algorithms
Ryu-ichiro Ohyama, Kiyoji Kaneko
Author Affiliations +
Abstract
An image analysis method is proposed for space and time correspondence of discrete traveling particles and is intended for a 3D velocity measurement by particle image velocimetry (PIV). In a principle of the PIV, the particles illuminated for fluid flow visualization are tracked during time fixed, and the velocity is obtained by a computational analysis of moving distance and direction of the tracked particles. This study is based on a thought that the purpose of particle tracking is accomplished by space and time correspondences of the particles The time correspondence is a combination process to find identical particles from particle distributions in two optical images captured with the time difference. Also the space correspondence is a combination process to find identical particles from plural images captured in more than two directions at same time. This process is a suitable image analysis for space position measurement of particles, it is though that the analysis method becomes a conventional technique overcoming the difficulty. In this method, the particle velocity is directly obtained from an optimum correspondence of the discrete particles in space and time. This study devises an application of genetic measurement of particles flowing around a rectangular column and shows the effectiveness of 3D image analysis with genetic algorithms.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ryu-ichiro Ohyama and Kiyoji Kaneko "Experimental study on space and time correspondence of traveling particles for three-dimensional particle image velocimetry by genetic algorithms", Proc. SPIE 3172, Optical Technology in Fluid, Thermal, and Combustion Flow III, (21 November 1997); https://doi.org/10.1117/12.279763
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Particles

3D image processing

Genetic algorithms

Image processing

Image analysis

Velocity measurements

Optical tracking

RELATED CONTENT


Back to Top