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Proceedings Paper

Fusion algorithm for color microbiological organisms images in automatized microscopes
Author(s): Josué Álvarez-Borrego; Vitaly Kober; Crisitian Gallardo-Escárate; Maria C. Chávez-Sánchez; Emma Fájer-Ávila; Mario Alonso Bueno-Ibarra
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Paper Abstract

In this paper we present an algorithm to determine the multifocus image fusion from several color microbiological images captured from the best focusing region. This focusing region is built by including several images up and down starting from Z position of the best image in focus. The captured RGB images are converted to YCbCr color space to have the color CbCr and intensity Y channels separated with the objective to preserve the color information of the best in focus image. However this algorithm utilizes the Fourier approach by using the Y channel frequency content via analyzing the Fourier coefficients for retrieving the high frequencies in order to obtain the best possible characteristics of every captured image. After this process, we construct the fused image with these coefficients and color information for the optimum in focus image in the YCbCr color space, as a result, we obtain a precise final RGB fused image.

Paper Details

Date Published: 20 January 2006
PDF: 7 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 602732 (20 January 2006); doi: 10.1117/12.668312
Show Author Affiliations
Josué Álvarez-Borrego, CICESE (Mexico)
Vitaly Kober, CICESE (Mexico)
Crisitian Gallardo-Escárate, CICESE (Mexico)
Maria C. Chávez-Sánchez, CIAD, Unidad Mazatlán en Acuicultura y Manejo Ambiental (Mexico)
Emma Fájer-Ávila, CIAD, Unidad Mazatlán en Acuicultura y Manejo Ambiental (Mexico)
Mario Alonso Bueno-Ibarra, CICESE (Mexico)


Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

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