Real-time image segmentation on a GPU

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6310 LNCS, Issue , 2010, Pages 131-142

  Abramov, Alexey ^a   Kulvicius, Tomas ^a,b   Wörgötter, Florentin ^a   Dellen, Babette ^c,d  

^a UNIVERSITY OF GÖTTINGEN   (Germany)

^b VYTAUTAS MAGNUS UNIVERSITY   (Lithuania)

^c MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

^d INSTITUT DE ROBÒTICA I INFORMÀTICA INDUSTRIAL CSIC UPC   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

A-FRAMES; COLOR IMAGES; COMPUTE UNIFIED DEVICE ARCHITECTURES; EQUILIBRIUM STATE; GRAPHICS PROCESSING UNIT; NON-PARAMETRIC; PARALLEL IMAGES; POTTS MODELS; PRIOR KNOWLEDGE; REAL TIME IMAGE SEGMENTATION; SUPERPARAMAGNETIC PHASE; VIDEO PROCESSING;

ALGORITHMS; COMPUTER APPLICATIONS; COMPUTER GRAPHICS EQUIPMENT; COMPUTER VISION; PARALLEL ARCHITECTURES; PROGRAM PROCESSORS; SUPERPARAMAGNETISM;

IMAGE SEGMENTATION;

EID: 78449267145     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16233-6_14     Document Type: Conference Paper

References (22)

1. Shapiro, L.G., Stockman, G.C.: Computer Vision. Prentice-Hall, Englewood Cliffs (2001)
2. Sahoo, P.K., Soltani, S., Wong, A.K.C., Chen, Y.: A survey of thresholding techniques. Computer Vision, Graphics and Image Processing 41(2), 233-260 (1988)
3. Swendsen, R.H., Wang, S.: Nonuniversal critical dynamics in Monte Carlo simulations. Physical Review Letters 76(18), 86-88 (1987)
4. Wolff, U.: Collective Monte Carlo updating for spin systems. Physical Review Letters 62(4), 361-364 (1989)
5. von Ferber, C., Wörgötter, F.: Cluster update algorithm and recognition. Physical Review E 62(2), 1461-1464 (2000)
6. Boykov, Y., Funka-Lea, G.: Graph cuts and efficient N-D image segmentation. International Journal of Computer Vision 70(2), 109-131 (2006) (Pubitemid 44127252)
7. Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient graph-based image segmentation. International Journal of Computer Vision 59(2), 167-181 (2004)
8. Comaniciu, D., Meer, P.: Mean shift: a robust approach toward feature space analysis. Pattern Analysis and Machine Intelligence 24(5), 603-619 (2002)
9. Potts, R.B.: Some generalized order-disorder transformations. Proc. Cambridge Philos. Soc. 48, 106-109 (1952)
10. Eckes, C., Vorbrüggen, J.C.: Combining data-driven and model-based cues for segmentation of video sequences. In: Proc. of World Congress on Neural Networks, pp. 868-875 (1996)
11. Blatt, M., Wiseman, S., Domany, E.: Superparamagnetic clustering of data. Physical Review Letters 76(18), 3251-3254 (1996)
12. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minmization in vision. Pattern Analysis and Machine Intelligence 9, 1124-1137 (2004)
13. Ising, E.: Beitrag zur Theorie des Ferromagnetismus. Z. Phys. 31, 253-258 (1925)
14. Geman, D., Geman, S.: Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. Pattern Analysis and Machine Intelligence 6, 721-741 (1984) (Pubitemid 15453722)
15. Meribout, M., Nakanishi, M.: A new real time object segmentation and tracking algorithm and its parallel architecture. Journal of VLSI Signal Processing 39(3), 249-266 (2005) (Pubitemid 40356763)
16. Carnevali, P., Coletti, L., Patarnello, S.: Image processing by simulated annealing. IBM Journal of Research and Development 29(6), 569-579 (1985) (Pubitemid 16538429)
17. Metropolis, N., Rosenbluth, A.W., Rosenbluth, M.N., Teller, A.H., Teller, E.: Equation of state calculations by fast computing machines. J. of Chem. Phys. 21(11), 1087-1091 (1953)
18. Barkema, G.T., MacFarland, T.: Parallel simulation of the ising model. Physical Review E 50(2), 1623-1628 (1994)
19. He, L., Chao, Y., Suzuki, K., Wu, K.: Fast connected-component labeling. Pattern Recognition 42, 1977-1987 (2009)
20. Kim, E., Wang, W., Li, H., Huang, X.: A parallel annealing method for automatic color cervigram image segmentation. In: Medical Image Computing and Computer Assisted Intervention, MICCAI-GRID 2009 HPC Workshop (2009)
21. Vineet, V., Narayanan, P.J.: CUDA cuts: fast graph cuts on the GPU. In: Proc. CVPRW 2008, pp. 1-8 (2008)
22. Dellen, B., Aksoy, E.E., Wörgötter, F.: Segment tracking via a spatiotemporal linking process including feedback stabilization in an n-d lattice model. Sensors 9(11), 9355-9379 (2009)