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Real-time speckle image processing

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Abstract

The laser dynamic speckle is an optical phenomenon produced when a laser light is reflected from an illuminated surface undergoing some kind of activity. It allows a non-destructive process for the detection of activities that are not easily observable, such as seed viability, paint drying, bacterial activities, corrosion processes, food decomposition, fruit bruising, etc. The analysis of these processes in real time makes it possible to develop important practical applications of commercial, biological and technological interest. This paper presents a new digital system based on granular computing algorithms to characterize speckle dynamics within the time domain. The selected platform to evaluate the system is Field Programmable Gate Array (FPGA) technology. The obtained minimum clock periods and latencies enable speckle image processing with real-time constraints with a maximum throughput of about thousand 512 × 512 fps.

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Acknowledgments

This work was partially supported by FASTA University, UNCPBA University, and National University of Mar del Plata investigation projects fund, and by the Agencia Nacional de Promoción Científica y Tecnológica, Argentina, through projects PICT-2008-1430 and PICT-2009-0041.

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Authors and Affiliations

  1. Faculty of Engineering, FASTA University, Mar del Plata, Argentina

    Elías Todorovich, Martín Vázquez, Ezequiel Cozzolino, Fernando Ferrara & Gery Bioul

  2. Universidad Nacional del Centro de la Provincia de Buenos Aires, Campus Universitario, B7001BBO, Tandil, Argentina

    Elías Todorovich & Martín Vázquez

  3. Faculty of Engineering, Universidad Nacional de Mar del Plata, Mar del Plata, Argentina

    Ana Lucia Dai Pra & Lucia Isabel Passoni

Authors
  1. Elías Todorovich
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  2. Ana Lucia Dai Pra
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  3. Lucia Isabel Passoni
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  4. Martín Vázquez
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  5. Ezequiel Cozzolino
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  6. Fernando Ferrara
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  7. Gery Bioul
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Correspondence to Elías Todorovich.

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Todorovich, E., Dai Pra, A.L., Passoni, L.I. et al. Real-time speckle image processing. J Real-Time Image Proc 11, 535–545 (2016). https://doi.org/10.1007/s11554-013-0343-4

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  • DOI: https://doi.org/10.1007/s11554-013-0343-4

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