Computer vision applied to wave flume measurements

Ocean Engineering

Volumn 36, Issue 14, 2009, Pages 1073-1079

  Iglesias, G ^a   Ibanez O ^b   Castro, A ^a   Rabunal J R ^c   Dorado, J ^c  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^b EUROPEAN CENTRE FOR SOFT COMPUTING   (Spain)

^c UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Computer vision; Measuring techniques; Surface wave elevation; Video image processing

Indexed keywords

COMPUTER VISION TECHNIQUES; DIGITAL IMAGE; FLOATING BODIES; FREE SURFACES; MEASUREMENT SYSTEM; MEASURING TECHNIQUES; NO SENSOR; VIDEO-IMAGE PROCESSING; WAVE FLUMES;

FLUID DYNAMICS; GAGES; IMAGING SYSTEMS; SENSORS; SURFACE MEASUREMENT; SURFACE WAVES; WATER WAVES;

COMPUTER VISION;

COMPUTER SIMULATION; DIGITAL IMAGE; FLUME EXPERIMENT; IMAGE PROCESSING; LABORATORY METHOD; MODEL VALIDATION; NUMERICAL MODEL; SURFACE WAVE; WAVE HEIGHT; WAVE MODELING;

EID: 69949099782     PISSN: 00298018     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.oceaneng.2009.06.012     Document Type: Article

References (26)

1. Bendat, J.S., Piersol, A.G., 2000. Random data: analysis and measurement procedures. John Wiley, New York.
2. Bernd J. Practical Handbook on Image Processing for Scientific Applications (1997), CRC Press
3. Bonmarin P. Geometric properties of deep-water breaking waves. Journal of Fluid Mechanics 209 (1989) 405-433
4. Canning, P., She, K., Morfett, J., 1998. Application of Video Imaging to Water Wave Analysis. Experimental Studies: Rivers, poster session.
5. De Haan G., and Bellers E.B. Deinterlacing-an overview. Proceedings of the IEEE 86 9 (1998) 1839-1857
6. Duncan J.H., Qiao H., Philomin V., and Wenz A. Gentle spilling breakers: crest profile evolution. Journal of Fluid Mechanics 379 (1999) 191-222
7. Erikson LiH., and Hanson H. A method to extract wave tank data using video imagery and its comparison to conventional data collection technique. Computers & Geosciences 31 (2005) 371-384
8. Flores, H., Andreatta, A., Llona, G., Saavedra, I., 1998. Measurements of oil spill spreading in a wave tank using digital image processing. In: Proceedings of the First International Conference on Oil and Hydrocarbon Spills, Modelling, Analysis and Control, Oil Spill, pp. 165-173.
9. García, J., Herranz, D., Negro, V., Varela, O., Flores, J., 2003. Tratamiento por color y video. VII Jornadas Españolas de Costas y Puertos.
10. Hilsenstein, V., 2005. Surface Reconstruction of Water Waves using Thermographic Stereo Imaging. In: Proceedings of the Image and Vision Computing New Zealand (IVCNZ 2005), Dunedin, New Zealand, pp. 102-107.
11. Harris, C., Stephens, M.J., 1988. A combined corner and edge detector. Alvey Vision Conference, pp. 147-152.
12. Hequan S., Dahong Q., Yongming S., and Yongxue W. Wave measurement based on light refraction. Acta Oceanologica Sinica 23 2 (2004) 359-366
13. Hu M.K. Visual pattern recognition by moment invariants. IRE Transactions on Information Theory 8 (1962) 179-187
14. Ibáñez O., Rabuñal J., Castro A., Dorado J., Iglesias G., and Pazos A. A framework for measuring waves level in a wave tank with artificial vision techniques. WSEAS Transactions on Signal Processing 3 1 (2007) 17-24
15. Javidi B., and Psaltis D. Image sequence analysis of water surface waves in a hydraulic wind wave tank. Proceedings of SPIE 3804 (1999) 148-158
16. Lee H.S., and Kwon S.H. Wave profile measurement by wavelet transform. Ocean Engineering 30 (2003) 2313-2328
17. Ma Y., Soatto S., Kosecha J., and Shankar S. An invitation to 3D Vision. From Images to Geometric Models (2004), Springer, Berlin
18. Mukundan R., and Ramakrishman K.R. Moment Functions in Image Analysis: Theory and Application (1998), World Scientific, Singapore
19. Neuenschwander W.M., Fua P., Lee I., Sze′kely G., and Kübler O. Ziplock snakes. International Journal of Computer Vision 25 3 (1997) 191-201
20. Otsu N. A threshold selection method from gray-level histogram. IEEE Transactions on Systems, Man, and Cybernetics 9 1 (1979) 62-66
21. Schmid C., Mohr R., and Bauckhage C. Evaluation of interest point detectors. International Journal of Computer Vision 37 2 (2000) 151-172
22. Shapiro L.G., and Stockman G.C. Computer Vision (2001), Prentice Hall
23. Tsai R.Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. Journal of Robotics and Automation RA 3 (1987) 323-344
24. Xu C., and Prince J.L. Snakes, shapes, and gradient vector flow. IEEE Transactions on Image Processing 7 3 (1998) 359-369
25. Yao A., and Wu C.H. An automated image-based technique for tracking sequential surface wave profiles. Ocean Engineering 32 (2004) 157-173
26. Zhang X. An Algorithm for Calculating Water Surface Elevations from Surface Gradient Image Data. Experiments in Fluids vol. 21 (1996), Springer, Berlin/Heidelberg (No. 1, pp. 43-48)