Abstract
This paper describes a method for the estimation of a dynamic open contour by incorporating a modified particle swarm optimization technique. This scheme has been applied to a “Particle Image Velocimetry” experiment for the analysis of fluid turbulence during a hydraulic jump. Due to inter reflections within the medium and refractions across different media interfaces, the imagery contains spurious regions, which have to be eliminated prior to the estimation of turbulence statistics at the fluid surface. The PIV image sequences provide a strict test bed for the performance analysis of this estimation mechanism due to the occurrence of intense specularity and extreme non-rigid motion dynamics.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. IJCV 1, 321–331 (1988)
Williams, D.J., Shah, M.: A fast algorithm for active contours and curvature estimation. CVGIP: Image Underst. 55, 14–26 (1992)
Cohen, L.D.: On active contour models and balloons. CVGIP 53, 211–218 (1991)
Ronfard, R.: Region based strategies for active contour models. International Journal of Computer Vision 13, 229–251 (1994)
Xu, C., Prince, J.L.: Snakes, shapes, and gradient vector flow. IEEE Transactions on Image Processing 3(7), 359–369 (1998)
Isard, M., Blake, A.: Condensation – conditional density propagation for visual tracking. International Journal of Computer Vision 29(1), 5–28 (1998)
Pérez, P., Blake, A., Gangnet, M.: Jetstream: Probabilistic contour extraction with particles. In: ICCV, pp. 524–531 (2001)
Ivins, J., Porrill, J.: Statistical snakes: Active region models. In: Proc. British Machine Vision Conference, vol. 2, pp. 377–386 (1994)
Pardo, X.M., Radeva, P.: Discriminant snakes for 3d reconstruction in medical images. In: Proc. International Conference on Pattern Recognition (ICPR 2000), vol. 4 (2000)
Peirson, W.L.: Measurement of surface velocities and shear at a wavy air-water interface using particle image velocimetry. Experiments in Fluids 23, 427–437 (1997)
Zhong, J., Huang, T.S., Adrian, R.J.: Extracting 3d vortices in turbulent fluid flow. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(2), 193–199 (1998)
Raffel, M., Willert, C., Kompenhas, J.: Particle Image Velocimetry, a Practical guide. Springer, Berlin (1998)
Lennon, J.M., Hill, D.F.: Particle image velocimetry measurements of undular and hydraulic jumps. Submitted to J. Hydraulic Engg. (2004)
Westerweel, J., Hofmann, T., Fukushima, C., Hunt, J.C.R.: Experimental investigation of the turbulent/non-turbulent interface at the outer boundary of a self-similar turbulent jet. Experiments in Fluids 33, 873–878 (2002)
Battiti, R., Brunato, M., Pasupuleti, S.: Do not be afraid of local minima: Affine shaker and particle swarm. Technical report DIT-05-049, university of Trento, Italy (2005)
Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, pp. 1942–1948 (1995)
Parsopoulos, K.E., Vrahatis, M.N.: Particle swarm optimization method for constrained optimization problems. In: Proceedings of the Euro-International Symposium on Computational Intelligence (2002)
Akgul, Y.S., Kambhamettu, C.: A coarse-to-fine deformable contour optimization framework. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(2), 174–186 (2003)
Misra, S.K., Thomas, M., Kambhamettu, C., Kirby, J.T., Veron, F., Brocchini, M.: Estimation of complex air-water interfaces from P̧IV images. Experiments in Fluids (accepted for publication)
Amini, A., Weymouth, T., Jain, R.: Using dynamic programming for solving variational problems in vision. PAMI 12, 855–867 (1990)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Thomas, M., Misra, S.K., Kambhamettu, C., Kirby, J.T. (2006). Dynamic Open Contours Using Particle Swarm Optimization with Application to Fluid Interface Extraction. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612032_65
Download citation
DOI: https://doi.org/10.1007/11612032_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31219-2
Online ISBN: 978-3-540-32433-1
eBook Packages: Computer ScienceComputer Science (R0)