Implementation of an autofocus algorithm based on searching the best in-focus image into a table-top laser-induced breakdown spectroscopy setup

Implementation of an autofocus algorithm based on searching the best in-focus image into a table-top laser-induced breakdown spectroscopy setup

Peer-reviewed article not indexed in WoS or Scopus

Laser-ablation based spectrochemical analytical methods could be used in applications in which the capability for spatially resolved analysis is required. Such analysis gives a 2-D or 3-D map of the monitored chemical elements. Here we introduce automation of a 2-D surface analysis in the laser-induced breakdown spectroscopy setup by implementation of an autofocus algorithm based on the evaluation of the image sharpness. The most suitable algorithm with respect to its speed, accuracy, and durability against digital noise is chosen by testing different gradient-based methods and methods working in the frequency domain.

Laser-ablation based spectrochemical analytical methods could be used in applications in which the capability for spatially resolved analysis is required. Such analysis gives a 2-D or 3-D map of the monitored chemical elements. Here we introduce automation of a 2-D surface analysis in the laser-induced breakdown spectroscopy setup by implementation of an autofocus algorithm based on the evaluation of the image sharpness. The most suitable algorithm with respect to its speed, accuracy, and durability against digital noise is chosen by testing different gradient-based methods and methods working in the frequency domain.

automatic focusing; autofocus; image sharpness; laser induced breakdown spectroscopy; Fourier transform; Pearson correlation; digital noise

automatic focusing; autofocus; image sharpness; laser induced breakdown spectroscopy; Fourier transform; Pearson correlation; digital noise

NOVOTNÝ, J.; MALINA, R.; KAISER, J.; LIŠKA, M.; GALIOVÁ, M.

2010

26.10.2009

0091-3286

OPTICAL ENGINEERING

48

10

United States of America

103604-1

103604-10

10