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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Bueno Ibarra, Mario A. | - |
dc.contributor.author | Alvarez Borrego, Josue | - |
dc.contributor.author | Acho, Leonardo | - |
dc.contributor.author | Chávez Sanchez, Marıa Cristına | - |
dc.date.accessioned | 2012-06-19T20:36:14Z | - |
dc.date.available | 2012-06-19T20:36:14Z | - |
dc.date.issued | 2005 | - |
dc.identifier.uri | http://www.repositoriodigital.ipn.mx/handle/123456789/5591 | - |
dc.description.abstract | We present a new algorithm to determine, quickly and accurately, the best-in-focus image of biological particles. The algorithm is based on a one-dimensional Fourier transform and on the Pearson correlation for automated microscopes along the Z axis. We captured a set of several images at different Z distances from a biological sample. The algorithm uses the Fourier transform to obtain and extract the image frequency content of a vector pattern previously specified to be sought in each captured image; comparing these frequency vectors with the frequency vector of a reference image (usually the first image that we capture or the most out-of-focus image), we find the best-in-focus image via the Pearson correlation. Numerical experimental results show the algorithm has a fast response for finding the best-in-focus image among the captured images, compared with related autofocus techniques presented in the past. The algorithm can be implemented in real-time systems with fast response, accuracy, and robustness; it can be used to get focused images in bright and dark fields; and it offers the prospect of being extended to include fusion techniques to construct multifocus final images. | es |
dc.language.iso | en | es |
dc.publisher | Optical Engineering | es |
dc.subject | Automated microscope | es |
dc.subject | Focus algorithms | es |
dc.subject | Autofocusing | es |
dc.subject | Variance analysis | es |
dc.subject | Gradient filters | es |
dc.subject | Fourier transform | es |
dc.subject | Pearson correlation | es |
dc.title | Fast autofocus algorithm for automated microscopes. | es |
dc.type | Article | es |
dc.description.especialidad | Investigación | es |
dc.description.tipo | 8 Pags. | es |
Aparece en las colecciones: | Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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Fast autofocus.pdf | 540.59 kB | Adobe PDF | Visualizar/Abrir |
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