DOI QR코드

DOI QR Code

3D Holographic Image Recognition by Using Graphic Processing Unit

  • Lee, Jeong-A (School of Computer Engineering, Chosun University) ;
  • Moon, In-Kyu (School of Computer Engineering, Chosun University) ;
  • Liu, Hailing (School of Computer Engineering, Chosun University) ;
  • Yi, Faliu (School of Computer Engineering, Chosun University)
  • Received : 2011.03.30
  • Accepted : 2011.09.05
  • Published : 2011.09.25

Abstract

In this paper we examine and compare the computational speeds of three-dimensional (3D) object recognition by use of digital holography based on central unit processing (CPU) and graphic processing unit (GPU) computing. The holographic fringe pattern of a 3D object is obtained using an in-line interferometry setup. The Fourier matched filters are applied to the complex image reconstructed from the holographic fringe pattern using a GPU chip for real-time 3D object recognition. It is shown that the computational speed of the 3D object recognition using GPU computing is significantly faster than that of the CPU computing. To the best of our knowledge, this is the first report on comparisons of the calculation time of the 3D object recognition based on the digital holography with CPU vs GPU computing.

Keywords

References

  1. J. W. Goodman and R. W. Lawrence, "Digital image formation from electronically detected holograms," Appl. Phys. Lett. 11, 77-79 (1967). https://doi.org/10.1063/1.1755043
  2. J. W. Goodman, Introduction to Fourier Optics (McGraw-Hill, New York, USA, 1996).
  3. I. Yamaguchi and T. Zhang, "Phase-shifting digital holography," Opt. Lett. 22, 1268-1270 (1997). https://doi.org/10.1364/OL.22.001268
  4. T. Kreis, Handbook of Holographic Interferometry (Wiley, New York, USA, 2005).
  5. Y. Frauel, T. Naughton, O. Matoba, E. Tahajuerce, and B. Javidi, "Three dimensional imaging and display using computational holographic imaging," Proc. IEEE 94, 636-654 (2006). https://doi.org/10.1109/JPROC.2006.870704
  6. L. Martinez and B. Javidi, "Synthetic aperture single-exposure on-axis digital holography," Opt. Express 16, 161-169 (2008). https://doi.org/10.1364/OE.16.000161
  7. F. Dubois, L. Joannes, and J.-C. Legros, "Improved threedimensional imaging with digital holography microscope using a partial spatial coherent source," Appl. Opt. 38, 7085-7094 (1999). https://doi.org/10.1364/AO.38.007085
  8. D. Abdelsalam, B. Baek, Y. Cho, and D. Kim, "Surface form measurement using single shot off-axis Fizeau interferometry," J. Opt. Soc. Korea 14, 409-414 (2010) https://doi.org/10.3807/JOSK.2010.14.4.409
  9. P. Ferraro, S. De Nicola, G. Coppola, A. Finizio, D. Alfieri, and G. Pierattini, "Controlling image size as a function of distance and wavelength in Fresnel-transform reconstruction of digital holograms," Opt. Lett. 29, 854-856 (2004). https://doi.org/10.1364/OL.29.000854
  10. E. Cuche, P. Marquet, and C. Depeursinge, "Simultaneous amplitude and quantitative phase contrast microscopy by numerical reconstruction of Fresnel off-axis holograms," Appl. Opt. 38, 6994-7001 (1999). https://doi.org/10.1364/AO.38.006994
  11. Y. Zhang, G. Pedrini, W. Osten, and H. J. Tiziani, "Reconstruction of in-line digital holograms from two intensity measurements," Opt. Lett. 29, 1787-1789 (2004). https://doi.org/10.1364/OL.29.001787
  12. T. Nomura, B. Javidi, S. Murata, E. Nitanai, and T. Numata, "Polarization imaging of a three-dimensional object by use of on-axis phase-shifting digital holography," Opt. Lett. 32, 481-483 (2007). https://doi.org/10.1364/OL.32.000481
  13. B. Javidi and E. Tajahuerce, "Three dimensional object recognition by use of digital holography," Opt. Lett. 25, 610-612 (2000). https://doi.org/10.1364/OL.25.000610
  14. B. Javidi and D. Kim, "Three-dimensional-object recognition by use of single-exposure on-axis digital holography," Opt. Lett. 30, 236-238 (2005). https://doi.org/10.1364/OL.30.000236
  15. H. Lee, S. Kim, and D. Kim, "Two step on-axis digital holography using dual-channel Mach-Zehnder interferometer and matched filter algorithm," J. Opt. Soc. Korea 14, 363-367 (2010). https://doi.org/10.3807/JOSK.2010.14.4.363
  16. B. Javidi, I. Moon, S. Yeom, and E. Carapezza, "Three-dimensional imaging and recognition of microorganism using single-exposure on-line (SEOL) digital holography," Opt. Express 13, 4492-4506 (2005). https://doi.org/10.1364/OPEX.13.004492
  17. A. Stern and B. Javidi, "Theoretical analysis of three-dimensional imaging and recognition of microorganism technique using single-exposure on-line (SEOL) digital holography," J. Opt. Soc. Am. A 24, 163-168 (2007). https://doi.org/10.1364/JOSAA.24.000163
  18. I. Moon, M. Daneshpanah, B. Javidi, and A. Stern, "Automated three-dimensional identification and tracking of micro/nanobiological organisms by computational holographic microscopy," Proc. IEEE 97, 990-1010 (2009). https://doi.org/10.1109/JPROC.2009.2017563
  19. T. Shimobaba, Y. Sato, J. Miura, M. Takenouchi, and T. Ito, "Real-time digital holographic microscopy using the graphic processing unit," Opt. Express 16, 11776-11781 (2008). https://doi.org/10.1364/OE.16.011776

Cited by

  1. Review of holographic-based three-dimensional object recognition techniques [Invited] vol.53, pp.27, 2014, https://doi.org/10.1364/AO.53.000G95
  2. Statistical Analysis of 3D Volume of Red Blood Cells with Different Shapes via Digital Holographic Microscopy vol.16, pp.2, 2012, https://doi.org/10.3807/JOSK.2012.16.2.115