OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 12 — Apr. 20, 2013
  • pp: 2841–2848

Image rotation measurement in scene matching based on holographic optical correlator

Tianxiang Zheng, Liangcai Cao, Qingsheng He, and Guofan Jin  »View Author Affiliations


Applied Optics, Vol. 52, Issue 12, pp. 2841-2848 (2013)
http://dx.doi.org/10.1364/AO.52.002841


View Full Text Article

Enhanced HTML    Acrobat PDF (1496 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

Based on the stationary random properties of remote sensing images, a correlation model is proposed to resolve the effects of the image rotation and translation on the correlation value in scene matching. The rotation invariance is achieved by measuring the image rotation with the model and compensating the rotation before the 2D translation scene matching. The input image is rotated from 5° to 5° at an interval of 1° and 11 new images are generated. The 11 new images correlate with all the template images and eleven correlation matrices are obtained. The maximum values of each correlation matrix are picked up and they could follow a fixed curve predicted by the model. Fitting the curve, the rotation corresponding to the estimated peak of the curve is considered to be the rotation of the input image. The rotation measurement of the input image can be as accurate as 0.05°. With an extra 36 rotations of the input image, the measuring range of rotation can be enlarged into ±180°. This method could be very fast and accurate for scene matching in the parallel multichannel holographic optical correlator.

© 2013 Optical Society of America

OCIS Codes
(070.4550) Fourier optics and signal processing : Correlators
(090.7330) Holography : Volume gratings
(100.3008) Image processing : Image recognition, algorithms and filters

ToC Category:
Holography

History
Original Manuscript: January 31, 2013
Revised Manuscript: March 21, 2013
Manuscript Accepted: March 25, 2013
Published: April 18, 2013

Citation
Tianxiang Zheng, Liangcai Cao, Qingsheng He, and Guofan Jin, "Image rotation measurement in scene matching based on holographic optical correlator," Appl. Opt. 52, 2841-2848 (2013)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-52-12-2841


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. T. Manzur, J. Zeller, and S. Serati, “Optical correlator based target detection, recognition, classification, and tracking,” Appl. Opt. 51, 4976–4983 (2012). [CrossRef]
  2. H. Zhou, C. Hughlett, J. C. Hanan, T. Lu, and T.-H. Chao, “Development of streamlined OT-MACH-based ATR algorithm for grayscale optical correlator,” Proc. SPIE 5816, 78–83 (2005). [CrossRef]
  3. B. V. K. V. Kumar, A. Mahalanobis, and R. D. Juday, Correlator Pattern Recognition (Cambridge University, 2005), pp. 357–367.
  4. S. H. Kim, K. Goda, A. Fard, and B. Jalali, “Optical time-domain analog pattern correlator for high-speed real-time image recognition,” Opt. Lett. 36, 220–222 (2011). [CrossRef]
  5. A. Awwal, K. Iftekharuddin, M. Karim, M. Neifeld, and D. Stork, “Convergence in optical and digital pattern recognition: introduction to the feature issue,” Appl. Opt. 49, DPR1–DPR2 (2010). [CrossRef]
  6. K. M. Iftekharuddin, C. Rentala, and A. Dani, “Determination of exact rotation angle and discrimination for rotated images,” Opt. Laser Technol. 34, 313–327 (2002). [CrossRef]
  7. A. A. S. Awwal, “What can we learn from the shape of a correlation peak for position estimation?,” Appl. Opt. 49, B40–B50 (2010). [CrossRef]
  8. S. Wang, Q. Tan, L. Cao, Q. He, and G. Jin, “Multi-sample parallel estimation in volume holographic correlator for remote sensing image recognition,” Opt. Express 17, 21738–21747 (2009). [CrossRef]
  9. J. Joseph, A. Bhagatji, and K. Singh, “Content-addressable holographic data storage system for invariant pattern recognition of gray-scale images,” Appl. Opt. 49, 471–478 (2010). [CrossRef]
  10. P. Ge, Q. Li, H. Feng, and Z. Xu, “Image rotation and translation measurement based on double phase-encoded joint transform correlator,” Appl. Opt. 50, 5235–5242 (2011). [CrossRef]
  11. B. S. Reddy and B. N. Chatterji, “An FFT-based technique for translation, rotation, and scale-invariant image registration,” IEEE Trans. Image Process. 5, 1266–1271 (1996). [CrossRef]
  12. J. S. Shaik and K. M. Iftekharuddin, “Detection and tracking of rotated and scaled targets by use of Hilbert-wavelet transform,” Appl. Opt. 42, 4718–4735 (2003). [CrossRef]
  13. A. Heifetz, J. T. Shen, J.-K. Lee, R. Tripathi, M. S. Shahriar, and M. Huq, “Translation-invariant object recognition system using an optical correlator and a super-parallel holographic random access memory,” Opt. Eng. 45, 025201 (2006). [CrossRef]
  14. C. Gu, H. Fu, and J.-R. Lien, “Correlation patterns and cross-talk noise in volume holographic optical correlators,” J. Opt. Soc. Am. A 12, 861–868 (1995). [CrossRef]
  15. H. J. Coufal, D. Psaltis, and G. T. Sincerbox, Holographic Data Storage (Springer, 2000).
  16. J. W. Goodman, Introduction to Fourier Optics, 2nd ed. (McGraw-Hill, 1996), pp. 305–308.
  17. G. W. Burr, S. Kobras, H. Hanssen, and H. Coufal, “Content-addressable data storage by use of volume holograms,” Appl. Opt. 38, 6779–6784 (1999). [CrossRef]
  18. D. Psaltis, “Coherent optical information systems,” Science 298, 1359–1363 (2002). [CrossRef]
  19. L. E. Franks, “A mode for the random video process,” Bell Syst. Tech. J. 45, 609–630 (1966).
  20. H. Mostafavi and F. W. Smith, “Image correlation with geometric distortion part 1: acquisition performance,” IEEE Trans. Aerosp. Electron. Syst. AES-14, 487–493 (1978). [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited