Open AccessA novel method for unsteady flow field segmentation based on stochastic similarity of direction
Author(s) -
Noriyasu Omata,
Susumu Shirayama
Publication year - 2018
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.5026152
Subject(s) - segmentation , flow (mathematics) , invariant (physics) , computer science , vector field , visualization , cluster analysis , flow visualization , similarity (geometry) , flow map , lagrangian , field (mathematics) , statistical physics , algorithm , artificial intelligence , mathematics , mechanics , physics , image (mathematics) , pure mathematics , mathematical physics
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom