The use of neural techniques in PIV and PTV

Measurement Science and Technology

Volumn 8, Issue 12, 1997, Pages 1399-1405

  Grant, I ^a   Pan, X ^a  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; FLOW MEASUREMENT; FLOW VISUALIZATION; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGING TECHNIQUES; LEARNING SYSTEMS; LIGHT INTERFERENCE; OPTIMIZATION; PATTERN RECOGNITION; POSITION MEASUREMENT; STEREO VISION;

FRINGE ANALYSIS; PARTICLE IMAGE VELOCIMETRY (PIV); PARTICLE TRACKING VELOCIMETRY (PTV); RECURRENT NEURAL NETWORKS;

VELOCITY MEASUREMENT;

EID: 0031341414     PISSN: 09570233     EISSN: None     Source Type: Journal    
DOI: 10.1088/0957-0233/8/12/004     Document Type: Article

References (29)

1. Carasone F and Cenedese A 1996 Young's fringes analysis by neural network Proc. 8th Conf. on Laser Anemometry, Lisbon (Lodoan-IST) paper 21
2. Carosone F, Cenedese A and Querzoli G 1995 Recognition of partially overlapped particle images using the Kohonen neural network Exp. Fluids 19 225-32
3. Cenedese A, Paglialunga A, Romano G P and Terlizzi M 1992 Neural net for trajectories recognition in a flow Int Symp on Laser Anemometry, Lisbon paper 27.1
4. Carpenter G A and Grossberg S 1983 A massively parallel architecture for a self-organising neural pattern recognition machine Computer Vision Graphics Image Processing 37 54-115
5. _1987 Art2: self-organisation of stable category recognition codes for analog output patterns Appl. Opt. 26 4919-30
6. _1990 Art3 hierarchical search: chemical transmitters in self-organising pattern recognition architectures Proc. Int. Joint Conf. on Neural Networks, Washington, DC vol 2, pp 30-3
7. Chang T P, Wilcox N A and Tatterson G B 1984 Application of image processing to the analysis of three-dimensional flow fields Opt. Eng. 23 283-7 (reprinted in Grant (1994))
8. Grant I (ed) 1994 Selected Papers on PIV (Bellingham, WA: The Society of Photo-Optical Instrumentation Engineers)
9. _1997 Particle image velocimetry: a review Proc. Inst. Mech. Eng. C 211 55-76
10. Grant I, Fu S, Pan X and Wang X 1995 The application of an in-lin, sterescopic, PIV system to 3 comonent velocity measurements Exp. Fluids 19 214-22
11. Grant I and Liu A 1989 Method for the efficient incoherent analysis of particle image velocimetry images Appl. Opt. 28 1745-8 (reprinted Grant (1994))
12. _1990 Directional ambiguity resolution in particle image velocimetry by pulse tagging Exp. Fluids 10 71-6 (reprinted Grant (1994))
13. Grant I and Pan X 1993 The neural network method applied to particle image velocimetry Proc. Optical Diagnostics in Fluid and Thermal Flow, SPIE Technical Conf. 2005, San Diego Paper 2005-43
14. _1995 An investigation of the performance of multi layer neural networks applied to the analysis of PIV images Exp. Fluids 19 159-66
15. Grant I, Pan X, Wang X and Romano F 1997 The neural network method applied to stereo image correspondence problem in 3 component PIV Appl. Opt. submitted
16. Grant I and Wang X 1995 Directionally-unambiguous, digital particle image velocimetry studies using a image intensifier camera Exp. Fluids 18 358-62
17. Grant I, Zhao Y, Tan Y and Stewart J N 1991 Three component flow mapping; experiences in stereoscopic PIV and holographic velocimetry Proc. Fourth Int. Conf. on Laser Anemometry, Advances and Applications (New York: American Society of Mechanical Engineers) pp 365-71 (reprinted in Grant (1994))
18. Grossberg S 1976 Adaptive pattern classification and universal recording: Feedback, expectation, olfaction and illusions Biol. Cybernetics 23 187-202
19. Hopfield J 1982 Neural networks and physical systems with emergent collective computational abilities Proc. Natl Acad. Sci., USA 79 2554-8
20. _1984 Neurons with graded response have collective computational properties like those of two-state neurons Proc. Natl Acad. Sci., USA 81 3088-92
21. Hopfield J and Tank D W 1984 'Neural' computation of decisions in optimisation problems Biol. Cybernetics 52 141-52
22. Kohonen Th 1982 Self-organised formation of topologically correct feature maps Biolog. Cybernetics 43 59-69
23. Kosko B 1987 Adaptive bidirectional associative memories Appl. Opt. 26 4947-60
24. McCulloch W S and Pitts W A 1943 A logical calculus of the ideas immanent in nervous activity Bull. Math. Biophys. 5 115-33
25. Okamoto K, Koizumi M, Madarame H and Hassan Y 1996 Temporal mapping of the spring model for particle image velocimetry Proc. Eighth Int. Symp. on Application of Laser Techniques to Fluid Mechanics (Lisbon) paper 27.1
26. Thompson B J 1989 Holographic methods for particle size and velocity measurement-recent advances Proc. SPIE 1136 308-26 (reprinted Grant (1994))
27. Teo C L, Lim K B, Hong G S and Yeo M H T 1991 A neural net approach in analysing photographs in PIV Proc. IEEE Int. Conf. on Systems, Man and Cybernetics, Charlottesville, VA vol 3, pp 1535-8
28. Utami T and Ueno T 1984 Visualization and picture processing of turbulent flow Exp. Fluids 2 25-32 (reprinted Grant (1994))
29. Widrow B and Hoff M E 1960 Adaptive switching circuits 1960 IRE Western Electric Show and Convention Record vol 4, pp 96-104