EDGE DETECTION IN ATOMIC MAGNETOMETER IMAGING

  • N. Papi Department of Physical Sciences, Earth and Environment, University of Siena, Italy.
  • E. Cali Department of Physical Sciences, Earth and Environment, University of Siena, Italy.
  • C. Marinelli Department of Physical Sciences, Earth and Environment, University of Siena, Italy.
  • E. Mariotti | mariotti@unisi.it Department of Physical Sciences, Earth and Environment, University of Siena, Italy.
  • V. Millucci Department of Physical Sciences, Earth and Environment, University of Siena, Italy.

Abstract

We present the results of an edge detection algorithm applied on Electromagnetic Induction Imaging provided by an Atomic radio-frequency Magnetometer operating in an unshielded environment and at room temperature. Atomic Magnetometers have been already used for Imaging Techniques in the last few years, but the image reconstruction and the object pattern recognition lacks nowadays in terms of quality: the effect of scattering of e.m. signals at low-frequency provides blurred images, and does not allow for a clean ray – optics response, as in the case of X rays. Our algorithm, based on solved Gaussian Noise Recognition, demonstrates excellent spatial resolution achieved despite low Signal-to-Noise-Ratio.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.
Published
2019-09-05
Info
Issue
Section
Articles
Keywords:
Magnetometry, All-optical sensors, Statistical Data analysis, Gaussian Noise
Statistics
  • Abstract views: 375

  • PDF: 147
How to Cite
Papi, N., Cali, E., Marinelli, C., Mariotti, E., & Millucci, V. (2019). EDGE DETECTION IN ATOMIC MAGNETOMETER IMAGING. Journal of the Siena Academy of Sciences, 10(1). https://doi.org/10.4081/jsas.2018.8532

Most read articles by the same author(s)