Airy Pattern Peak Detection: A Comparative Analysis of Machine Vision Algorithms in Low Performance Hardware
Abstract
Achieving redAn Optical Spatial filtering is
a opto-mechanical system widely used in advanced
optics and has broad applicability in diverse fields.
This system is used to archive optimal beam quality
in applications ranging from redlike high-power lasers
to interferometric metrology fundamentally relies on
precise spatial filtering. While spatial filters effectively
remove redlaser beams or optical interferometry removing
high-frequency noise and improve beam profiles , their
performance is critically dependent on accurate.red The
efficacy of the system relies on a correct alignment
specifically redprocess, which is a human guided or
hand made process. In particular, the precise centering
redalignment of the focused laser beam onto redAiry
disk and the pinhole aperture. Despite decades of
research and development in optical filtering, a robust,
automated solution for multiple wavelength spatial filter
alignment redinto alignment process, advancements are
focused in the hand made alignment process and the
automatization remains an open redas a significant.
This paper redThe present work focuses on a critical
sub-problem within that challenge:, the accurate and
reliable determination of the diffraction pattern’s center, a
prerequisite for any automated alignment system. Was
observed that the FBM and CCL are faster that the
redautomation of this system. While superpixel methods,
but superpixel-based methods were more accurate and
precise when its redsegmentation algorithms achieved
lower error rates, two of the evaluated algorithms exhibit
reduced processing times compared to the true centroid,
achieving minimum errors of one pixel. redThe algorithms
applicability is aiming the real time execution in controllers
running in low resource hardware. An hybrid approach
algorithm could be a better solution instead a single one,
providing the faster execution time and the consistent
accuracy redis under discussion.
a opto-mechanical system widely used in advanced
optics and has broad applicability in diverse fields.
This system is used to archive optimal beam quality
in applications ranging from redlike high-power lasers
to interferometric metrology fundamentally relies on
precise spatial filtering. While spatial filters effectively
remove redlaser beams or optical interferometry removing
high-frequency noise and improve beam profiles , their
performance is critically dependent on accurate.red The
efficacy of the system relies on a correct alignment
specifically redprocess, which is a human guided or
hand made process. In particular, the precise centering
redalignment of the focused laser beam onto redAiry
disk and the pinhole aperture. Despite decades of
research and development in optical filtering, a robust,
automated solution for multiple wavelength spatial filter
alignment redinto alignment process, advancements are
focused in the hand made alignment process and the
automatization remains an open redas a significant.
This paper redThe present work focuses on a critical
sub-problem within that challenge:, the accurate and
reliable determination of the diffraction pattern’s center, a
prerequisite for any automated alignment system. Was
observed that the FBM and CCL are faster that the
redautomation of this system. While superpixel methods,
but superpixel-based methods were more accurate and
precise when its redsegmentation algorithms achieved
lower error rates, two of the evaluated algorithms exhibit
reduced processing times compared to the true centroid,
achieving minimum errors of one pixel. redThe algorithms
applicability is aiming the real time execution in controllers
running in low resource hardware. An hybrid approach
algorithm could be a better solution instead a single one,
providing the faster execution time and the consistent
accuracy redis under discussion.
Keywords
Superpixels, centroid, connected component labeling, optical spatial filtering, airy disk