Paper
14 August 2001 Minimum-variance centroid thresholding
Jorge Ares, Justo Arines
Author Affiliations +
Proceedings Volume 4419, 4th Iberoamerican Meeting on Optics and 7th Latin American Meeting on Optics, Lasers, and Their Applications; (2001) https://doi.org/10.1117/12.437147
Event: IV Iberoamerican Meeting of Optics and the VII Latin American Meeting of Optics, Lasers and Their Applications, 2001, Tandil, Argentina
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jorge Ares and Justo Arines "Minimum-variance centroid thresholding", Proc. SPIE 4419, 4th Iberoamerican Meeting on Optics and 7th Latin American Meeting on Optics, Lasers, and Their Applications, (14 August 2001); https://doi.org/10.1117/12.437147
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Cited by 1 scholarly publication.
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KEYWORDS
Image processing

Image segmentation

Detection and tracking algorithms

Sensors

Image processing algorithms and systems

Error analysis

Wavefront sensors

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