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Proceedings Paper

Minimum-variance centroid thresholding
Author(s): Jorge Ares; Justo Arines
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Paper Abstract

Image processing thresholding algorithms are very extended segmentation tools for tracking applications. The centroid of the tracked image distribution use to be a good point of reference for locating it. In this work we show a new thresholding technique which is based in the estimation of the optimum threshold value for achieving the minimal variance in the calculated centroid for the processed image. One experience was done for evaluating its performance qualities. The direct extension of these results to Shack- Hartmann wave-front sensors advantages and possibilities of application of this technique.

Paper Details

Date Published: 14 August 2001
PDF: 4 pages
Proc. SPIE 4419, 4th Iberoamerican Meeting on Optics and 7th Latin American Meeting on Optics, Lasers, and Their Applications, (14 August 2001); doi: 10.1117/12.437147
Show Author Affiliations
Jorge Ares, Univ. de Santiago de Compostela (Spain)
Justo Arines, Univ. de Santiago de Compostela (Spain)


Published in SPIE Proceedings Vol. 4419:
4th Iberoamerican Meeting on Optics and 7th Latin American Meeting on Optics, Lasers, and Their Applications

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