OSA's Digital Library

Optics Letters

Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Vol. 26, Iss. 23 — Dec. 1, 2001
  • pp: 1852–1854

Optical snake-based segmentation processor with a shadow-casting incoherent correlator

E. Hueber, L. Bigué, P. Réfrégier, and P. Ambs  »View Author Affiliations


Optics Letters, Vol. 26, Issue 23, pp. 1852-1854 (2001)
http://dx.doi.org/10.1364/OL.26.001852


View Full Text Article

Acrobat PDF (319 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

What is believed to be the first incoherent snake-based optoelectronic processor that is able to segment an object in a real image is described. The process, based on active contours (snakes), consists of correlating adaptive binary references with the scene image. The proposed optical implementation of algorithms that are already operational numerically opens attractive possibilities for faster processing. Furthermore, this experiment has yielded a new, versatile application for optical processors.

© 2001 Optical Society of America

OCIS Codes
(070.0070) Fourier optics and signal processing : Fourier optics and signal processing
(070.4550) Fourier optics and signal processing : Correlators
(070.5010) Fourier optics and signal processing : Pattern recognition
(100.0100) Image processing : Image processing
(100.1160) Image processing : Analog optical image processing

Citation
E. Hueber, L. Bigué, P. Réfrégier, and P. Ambs, "Optical snake-based segmentation processor with a shadow-casting incoherent correlator," Opt. Lett. 26, 1852-1854 (2001)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-26-23-1852


Sort:  Author  |  Year  |  Journal  |  Reset

References

  1. A. VanderLugt, “Signal detection by complex spatial filtering,” IEEE Trans. Inf. Theory 10, 139–145 (1964).
  2. B. Javidi J. Wang, “Limitation of the classic definition of the correlation signal-to-noise ratio in optical pattern recognition with disjoint signal and scene noise,” Appl. Opt. 31, 6826–6829 (1992).
  3. B. Javidi, P. Réfrégier, P. Willett, “Optimum receiver design for pattern recognition with nonoverlapping target and scene noise,” Opt. Lett. 18, 1660–1662 (1993).
  4. C. Veronin, K. Priddy, S. Rogers, K. Ayer, M. Kabrisky, B. Welsh, “Optical image segmentation using neural-based wavelet filtering techniques,” Opt. Eng. 31, 287–294 (1992).
  5. T.-H. Chao, T. Daud, A. Thakoor, “Fast frame hybrid optoelectronic neural object recognition system,” in International Conference on Applied Modeling and Simulation (International Association of Science and Technology for Development, Calgary, Canada, 1998), pp. 82–86.
  6. W. Feng, Y. Yan, G. Huang, G. Jin, “Micro-optical multiwavelet element for hybrid texture segmentation processor,” Opt. Eng. 37, 185–188 (1998).
  7. M. Kass, A. Witkin, D. Terzopoulos, “Snakes: active contour models,” Int. J. Comput. Vision 1, 321–331 (1988).
  8. O. Germain P. Réfrégier, “Optimal snake-based segmentation of a random luminance target on a spatially disjoint background,” Opt. Lett. 21, 1845–1847 (1996).
  9. C. Chesnaud, P. Réfrégier, V. Boulet, “Statistical region snake-based segmentation adapted to different physical noise models,” IEEE Trans. Pattern Anal. Mach. Intell. 21, 1145–1157 (1999).
  10. P. Réfrégier, O. Germain, T. Gaidon, “Optimal snake segmentation of target and background with independent Gamma density probabilities, application to speckled and preprocessed images,” Opt. Commun. 137, 382–388 (1997).
  11. L. Bragg, “Lightning calculations with light,” Nature 154, 69–72 (1944).
  12. K. A. Bauchert S. A. Serati, “High-speed multi-level 512×512 spatial light modulator,” Proc. SPIE 4043, 59–65 (2000).

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