Research Article Open Access

Improvement of Nuclear Track Density Measurements Using Image Processing Techniques

A. Mostofizadeh1, X. Sun1 and M. R. Kardan1
  • 1 ,
American Journal of Applied Sciences
Volume 5 No. 2, 2008, 71-76

DOI: https://doi.org/10.3844/ajassp.2008.71.76

Published On: 28 February 2008

How to Cite: Mostofizadeh, A., Sun, X. & Kardan, M. R. (2008). Improvement of Nuclear Track Density Measurements Using Image Processing Techniques. American Journal of Applied Sciences, 5(2), 71-76. https://doi.org/10.3844/ajassp.2008.71.76

Abstract

The well known edge detection methods were applied to evaluate accuracy and precision of nuclear track densitometry of polycarbonate detector. All measurements carried out in two cases of before and after improvement of track images. Considering the overlapping phenomenon -including double and triple tracks- experimental and statistical results showed that not only each particular edge detection method affects the accuracy of measurements, there is also a significant difference in accuracies of all techniques before and after image enhancement. However, no noticeable deference observed in precision of each individual edge detection method before and after image enhancement. Results of this study showed that overall, among the several routine edge detection method, Canny is the most accurate technique. Moreover, Laplacian of Gaussian and Canny techniques are more precise than other edge detection techniques in the case of this study.

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Keywords

  • SSNTD
  • edge detection
  • image processing
  • Matlab