One of the major difficulties of automatic track counting using photomicrographs is separating overlapped tracks. We address this issue combining image processing algorithms such as skeletonization, and we test our algorithm with several binarization techniques. The counting algorithm was successfully applied to determine the efficiency factor GQR, necessary for standardless fission-track dating, involving counting induced tracks in apatite and muscovite with superficial densities of about 6×105 tracks/cm2.
@article{arxiv.1806.05199,
title = {Skeletracks: automatic separation of overlapping fission tracks in apatite and muscovite using image processing},
author = {Alexandre Fioravante de Siqueira and Wagner Massayuki Nakasuga and Sandro Guedes},
journal= {arXiv preprint arXiv:1806.05199},
year = {2018}
}