Autofocus method for automated microscopy using embedded GPUs
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http://hdl.handle.net/10045/66767
Title: | Autofocus method for automated microscopy using embedded GPUs |
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Authors: | Castillo-Secilla, José María | Saval-Calvo, Marcelo | Medina-Valdés, Luis | Cuenca-Asensi, Sergio | Martínez-Álvarez, Antonio | Sánchez, Carlos | Cristóbal, Gabriel |
Research Group/s: | Informática Industrial y Redes de Computadores | UniCAD: Grupo de Investigación en CAD/CAM/CAE de la Universidad de Alicante |
Center, Department or Service: | Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Instituto Universitario de Investigación Informática |
Keywords: | Image processing | Microscopy | Vision, color, and visual optics |
Knowledge Area: | Arquitectura y Tecnología de Computadores |
Issue Date: | 1-Mar-2017 |
Publisher: | Optical Society of America |
Citation: | Biomedical Optics Express. 2017, 8(3): 1731-1740. doi:10.1364/BOE.8.001731 |
Abstract: | In this paper we present a method for autofocusing images of sputum smears taken from a microscope which combines the finding of the optimal focus distance with an algorithm for extending the depth of field (EDoF). Our multifocus fusion method produces an unique image where all the relevant objects of the analyzed scene are well focused, independently to their distance to the sensor. This process is computationally expensive which makes unfeasible its automation using traditional embedded processors. For this purpose a low-cost optimized implementation is proposed using limited resources embedded GPU integrated on cutting-edge NVIDIA system on chip. The extensive tests performed on different sputum smear image sets show the real-time capabilities of our implementation maintaining the quality of the output image. |
Sponsor: | This work has been partly supported by the Spanish grant CTM2014-51907. |
URI: | http://hdl.handle.net/10045/66767 |
ISSN: | 2156-7085 |
DOI: | 10.1364/BOE.8.001731 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © 2017 Optical Society of America |
Peer Review: | si |
Publisher version: | http://dx.doi.org/10.1364/BOE.8.001731 |
Appears in Collections: | INV - I2RC - Artículos de Revistas INV - UNICAD - Artículos de Revistas |
Files in This Item:
File | Description | Size | Format | |
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2017_Castillo_etal_BiomedOptExpr_final.pdf | Versión final (acceso restringido) | 2,94 MB | Adobe PDF | Open Request a copy |
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