A Computational Method for Analysis of EPR Spectra Based on Image Processing #

Authors

  • Mustafa Reşit TAVUS Ondokuz Mayıs University, Faculty of Engineering, Department of Computer Engineering, 55125, Samsun-Turkey
  • Yunus ÇELIK Ondokuz Mayıs University, Faculty of Arts and Science, Department of Physics, 55125, Samsun-Turkey
  • Nurettin ŞENYER Ondokuz Mayıs University, Faculty of Engineering, Department of Computer Engineering, 55125, Samsun-Turkey
  • Recai OKTAŞ Ondokuz Mayıs University, Faculty of Engineering, Department of Computer Engineering, 55125, Samsun-Turkey
  • Bünyamin KARABULUT Ondokuz Mayıs University, Faculty of Engineering, Department of Computer Engineering, 55125, Samsun-Turkey

Keywords:

Image processing, Spectrum analysis, Peak detection, EPR, Gamma irradiation

Abstract

In this study, it was aimed to finish the analysis process much quicker and make the error margin minimum. Image processing technique was applied to the spectra of gamma irradiated diammonium hydrogen citrate single crystals recorded in the electron paramagnetic resonance (EPR) spectrometer. The peak values in the analogue spectra were detected and transferred to digital environment by using the image process technique. The analogue structures of the spectra were reobtained by using curve fitting methods after the digital spectra were implemented some basic morphological image processing techniques. The spin-Hamiltonian parameters were calculated by using the spectra acquired in our calculation and a comparison made with the results of manually resolved spectra. In this way, the aim of the study was achieved by minimizing the loss of time spent in the analysis stage and the errors related to humans.

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Published

2015-07-30

How to Cite

TAVUS, M. R., ÇELIK, Y., ŞENYER, N., OKTAŞ, R., & KARABULUT, B. (2015). A Computational Method for Analysis of EPR Spectra Based on Image Processing #. International Journal of Computational and Experimental Science and Engineering, 1(2), 27–30. Retrieved from https://ijcesen.com/index.php/ijcesen/article/view/217

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Section

Research Article