OSA's Digital Library

Optics Letters

Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Vol. 21, Iss. 22 — Nov. 15, 1996
  • pp: 1845–1847

Optimal snake-based segmentation of a random luminance target on a spatially disjoint background

Olivier Germain and Philippe Réfrégier  »View Author Affiliations


Optics Letters, Vol. 21, Issue 22, pp. 1845-1847 (1996)
http://dx.doi.org/10.1364/OL.21.001845


View Full Text Article

Enhanced HTML    Acrobat PDF (814 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

We describe a segmentation processor that is optimal for tracking the shape of a target with random white Gaussian intensity appearing on a random white Gaussian spatially disjoint background. This algorithm, based on an active contours model (snakes), consists of correlations of binary references with preprocessed versions of the scene image. This result can provide a practical method to adapt the reference image to correlation techniques.

© 1996 Optical Society of America

History
Original Manuscript: June 3, 1996
Published: November 15, 1996

Citation
Olivier Germain and Philippe Réfrégier, "Optimal snake-based segmentation of a random luminance target on a spatially disjoint background," Opt. Lett. 21, 1845-1847 (1996)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-21-22-1845


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. A. Vander Lugt, IEEE Trans. Inform. Theory IT-10, 139 (1964). [CrossRef]
  2. B. Vijaya, V. K. Kumar, Appl. Opt. 31, 4773 (1992). [CrossRef]
  3. B. Javidi, J. Wang, Opt. Lett. 20, 401 (1994). [CrossRef]
  4. D. L. Flannery, J. Opt. Soc. Am. 12, 66 (1995). [CrossRef]
  5. F. Goudail, Ph. Réfrégier, Opt. Lett. 21, 495 (1996). [CrossRef] [PubMed]
  6. M. Kass, A. Witkin, D. Terzopoulos, Int. J. Comput. Vision 2, 321 (1988). [CrossRef]
  7. R. Ronfard, Comput. Vision 2, 229 (1994). [CrossRef]
  8. C. Kervrann, F. Heitz, “A hierarchical statistical framework for the segmentation of deformable objects in image sequences,” in Proceedings of the IEEE Conference on Computer Vision Pattern Recognition (Institute of Electrical and Electronics Engineers, New York, 1994), pp. 724–728. [CrossRef]
  9. R. Deriche, Int. J. Comput. Vision 1, 167 (1987). [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.

Figures

Fig. 1 Fig. 2 Fig. 3
 

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited