Published February 17, 2023
| Version 1.0.0
Software
Open
2D Dynamic Time Warping (DTW) algorithm for python
Contributors
- 1. University of York
Description
DTW is a dynamic time warping library designed for tokamak velocimetry measurements.
The algorithm works by distorting image 2 into image 1, then using the distorted coordinates to compute the displacements required to distort image 1 into image 2, given at the positions in image 1.
Notes
The authors wish to thank: Dr Edward Higgins for helping with the initial `f2py` port of some of the routine's functions; Yorick Enters and Matthew Hill for their work on initial testing of the routine and providing feedback that lead to improvements in the library; and Dr. Peter Hill of the PlasmaFair project for assisting in making this library widely available for use by other researchers.
Files
Files
(41.3 MB)
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md5:2192515a33a366c0135ea0565ffd0ece
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Additional details
Identifiers
Funding
- Multiscale turbulent dynamics of tokamak plasmas EP/R034737/1
- UK Research and Innovation
- NPIF EPSRC Doctoral - University of York 2017 EP/R512230/1
- UK Research and Innovation
- EPSRC Centre for Doctoral Training in the Science and Technology of Fusion Energy EP/L01663X/1
- UK Research and Innovation
- Embedding FAIRness in Plasma Science EP/V051822/1
- UK Research and Innovation
References
- Sakoe, H. and Chiba, S. (1978) Dynamic Programming Algorithm Optimization for Spoken Word Recognition, DOI: 10.1109/TASSP.1978.1163055
- Quenot, G. M. (1992) The "Orthogonal Algorithm" for Pptical Flow Detection using Dynamic Programming, ISBN: 0780305329
- Quenot, G. M. (1996) Computation of Optical Flow using Dynamic Programming, IAPR Workshoop on Machine Vision Applications
- Quenot, G. M., Pakleza, J. and Kowalewski, T. A. (1998) Particle image velocimetry with optical flow, DOI: 10.1007/s003480050222
- Quenot, G (2000) Synchronous Orthogonal Dynamic Programming for Particle Image Velocimetry, 9th International Symposium on Flow Visualisation
- Kriete, D. M. et al (2018) Extracting the turbulent flow-field from beam emission spectroscopy images using velocimetry, DOI: 10.1063/1.5036535