20 January 2006 Fusion algorithm for color microbiological organisms images in automatized microscopes
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Proceedings Volume 6027, ICO20: Optical Information Processing; 602732 (2006) https://doi.org/10.1117/12.668312
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China
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.
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Josué Álvarez-Borrego, Vitaly Kober, Crisitian Gallardo-Escárate, Maria C. Chávez-Sánchez, Emma Fájer-Ávila, Mario Alonso Bueno-Ibarra, "Fusion algorithm for color microbiological organisms images in automatized microscopes", Proc. SPIE 6027, ICO20: Optical Information Processing, 602732 (20 January 2006); doi: 10.1117/12.668312; https://doi.org/10.1117/12.668312
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