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Proceedings Paper

Autofocus algorithm using one-dimensional Fourier transform and Pearson correlation
Author(s): A. Bueno Mario; Josue Alvarez-Borrego; L. Acho
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Paper Abstract

A new autofocus algorithm based on one-dimensional Fourier transform and Pearson correlation for Z automatized microscope is proposed. Our goal is to determine in fast response time and accuracy, the best focused plane through an algorithm. We capture in bright and dark field several images set at different Z distances from biological organism sample. The algorithm uses the one-dimensional Fourier transform to obtain the image frequency content of a vectors pattern previously defined comparing the Pearson correlation of these frequency vectors versus the reference image frequency vector, the most out of focus image, we find the best focusing. Experimental results showed the algorithm has fast response time and accuracy in getting the best focus plane from captured images. In conclusions, the algorithm can be implemented in real time systems due fast response time, accuracy and robustness. The algorithm can be used to get focused images in bright and dark field and it can be extended to include fusion techniques to construct multifocus final images beyond of this paper.

Paper Details

Date Published: 21 October 2004
PDF: 6 pages
Proc. SPIE 5622, 5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications, (21 October 2004); doi: 10.1117/12.592180
Show Author Affiliations
A. Bueno Mario, Ctr. de Investigacion y Desarrollo de Tecnologia Digital-IPN (United States)
Ctr. de Investigacion de Educacion Superior de Ensenada (Mexico)
Josue Alvarez-Borrego, Ctr. de Investigacion de Educacion Superior de Ensenada (Mexico)
L. Acho, Ctr. de Investigacion y Desarrollo de Tecnologia Digital-IPN (United States)


Published in SPIE Proceedings Vol. 5622:
5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications
Aristides Marcano O.; Jose Luis Paz, Editor(s)

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