Multiple cell-particle tracking based on multi-resolution block-matching using genetic algorithm

2006 ◽  
Author(s):  
H. Bhaskar ◽  
R.L. Kingsland ◽  
S. Singh ◽  
G. Welsh ◽  
J. Tavare
Keyword(s):  
Genetic Algorithm ◽  
Particle Tracking ◽  
Block Matching ◽  
Multiple Cell

scholarly journals Particle Tracking Technique and Velocity Measurement of Visualized Flow Fields by means of Genetic Algorithm

1993 ◽  
Vol 13 (Supplement1) ◽  
pp. 35-38 ◽  
Author(s):  
Ryu-ichiro OHYAMA ◽  
Toshiyuki TAKAGI ◽  
Takaaki TSUKIJI ◽  
Shohachiro NAKANISHI ◽  
Kiyoji KANEKO
Keyword(s):  
Genetic Algorithm ◽  
Particle Tracking ◽  
Velocity Measurement ◽  
Flow Fields ◽  
Tracking Technique

Particle Tracking Velocimetry using the genetic algorithm

2009 ◽  
Vol 12 (3) ◽  
pp. 217-232 ◽  
Author(s):  
K. Ohmi ◽  
S. P. Panday
Keyword(s):  
Genetic Algorithm ◽  
Particle Tracking ◽  
Particle Tracking Velocimetry

Monte Carlo real coded genetic algorithm (MC-RGA) for radioactive particle tracking (RPT) experimentation

AIChE Journal ◽  
2017 ◽  
Vol 63 (7) ◽  
pp. 2850-2863 ◽  
Author(s):  
Ashutosh Yadav ◽  
Manojkumar Ramteke ◽  
Harish Jagat Pant ◽  
Shantanu Roy
Keyword(s):  
Genetic Algorithm ◽  
Monte Carlo ◽  
Particle Tracking ◽  
Radioactive Particle Tracking ◽  
Radioactive Particle ◽  
Real Coded Genetic Algorithm

scholarly journals Particle Tracking of Electrophoresis by Using Genetic Algorithm

1993 ◽  
Vol 13 (Supplement2) ◽  
pp. 111-114
Author(s):  
Ryu-ichiro OHYAMA ◽  
Takaaki TSUKIJI ◽  
Kiyoji KANEKO
Keyword(s):  
Genetic Algorithm ◽  
Particle Tracking

scholarly journals Stereoscopic Correspondence of Particles for 3-Dimensional Particle Tracking Velocimetry by using Genetic Algorithm

2017 ◽  
Vol 12 (1) ◽  
pp. 10-26 ◽  
Author(s):  
Sanjeeb Prasad Panday
Keyword(s):  
Genetic Algorithm ◽  
Particle Tracking ◽  
Particle Tracking Velocimetry ◽  
Three Dimensional ◽  
Time Step ◽  
3 Dimensional ◽  
Proximity Analysis ◽  
Ga Algorithm ◽  
New Strategy ◽  
Better Than

The genetic algorithm (GA) based stereo particle-pairing algorithm has been developed and applied to the spatial particle-pairing problem of the stereoscopic three-dimensional (3-D) PTV system. In this 3 D  PTV system, particles viewed by two (or more than two) stereoscopic cameras with a parallax have to be correctly paired at every synchronized time step. This is important because the 3-D coordinates of individual particles cannot be computed without the knowledge of the correct stereo correspondence of the particles. In the present study, the GA algorithm is applied to the epipolar line proximity analysis for establishing correspondence of particles pairs between two co-instantaneous stereoscopic particles images, in order to compute the 3-D coordinates of every individual particle. The results are tested with various standard images and it’s found that the new strategy using GA works better than conventional particle pairing methods of 3-D particle tracking velocimetry for steoroscopic PTV. Journal of the Institute of Engineering, 2016, 12(1): 10-26

Adaptive genetic algorithm for block-matching motion estimation

2001 ◽  
Author(s):  
Chuxiang Li ◽  
Jianhua Lu ◽  
Jinshu Chen ◽  
Jun Gu
Keyword(s):  
Genetic Algorithm ◽  
Motion Estimation ◽  
Block Matching ◽  
Adaptive Genetic Algorithm
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