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Optics Letters

Optics Letters


  • Vol. 27, Iss. 7 — Apr. 1, 2002
  • pp: 497–499

Minimum variance centroid thresholding

J. Arines and J. Ares  »View Author Affiliations

Optics Letters, Vol. 27, Issue 7, pp. 497-499 (2002)

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Image-processing thresholding algorithms are extended segmentation tools that are suitable for tracking applications. The centroid of the tracked image distribution is a good point of reference for the location of the image. We describe a new thresholding technique that is based on the estimation of the optimum threshold for achieving minimal variance in the centroid of the processed image. Experimental proofs for evaluating the technique's performance are given. The direct extension of these results to Shack–Hartmann wave-front sensors is also shown.

© 2002 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(120.0120) Instrumentation, measurement, and metrology : Instrumentation, measurement, and metrology

J. Arines and J. Ares, "Minimum variance centroid thresholding," Opt. Lett. 27, 497-499 (2002)

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  1. R. C. González R. E. Woods, Digital Image Processing (Addison-Wesley, Reading, Mass., 1992), pp. 443–455.
  2. P. M. Salomon T. A. Glavich, Proc. SPIE 252, 64 (1980).
  3. R. M. Haralick L. G. Shapiro, Computer and Robot Vision (Addison-Wesley, Reading, Mass., 1992), Vol. 1, pp. 14–28.
  4. J. Ares, T. Mancebo, S. Bará, Appl. Opt. 39, 1511 (2000).

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