Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

An automatic method for segmentation of fission tracks in epidote crystal photomicrographs

Full text
Author(s):
de Siqueira, Alexandre Fioravante [1] ; Nakasuga, Wagner Massayuki [1] ; Pagamisse, Aylton [2] ; Tello Saenz, Carlos Alberto [1] ; Job, Aldo Eloizo [1]
Total Authors: 5
Affiliation:
[1] UNESP Univ Estadual Paulista, FCT, DFQB, BR-19060900 Sao Paulo - Brazil
[2] UNESP Univ Estadual Paulista, FCT, DMC, BR-19060900 Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Computers & Geosciences; v. 69, p. 55-61, AUG 2014.
Web of Science Citations: 3
Abstract

Manual identification of fission tracks has practical problems, such as variation due to observer observation efficiency. An automatic processing method that could identify fission tracks in a photomicrograph could solve this problem and improve the speed of track counting. However, separation of nontrivial images is one of the most difficult tasks in image processing. Several commercial and free softwares are available, but these softwares are meant to be used in specific images. In this paper, an automatic method based on starlet wavelets is presented in order to separate fission tracks in mineral photomicrographs. Automatization is obtained by the Matthews correlation coefficient, and results are evaluated by precision, recall and accuracy. This technique is an improvement of a method aimed at segmentation of scanning electron microscopy images. This method is applied in photomicrographs of epidote phenocrystals, in which accuracy higher than 89% was obtained in fission track segmentation, even for difficult images. Algorithms corresponding to the proposed method are available for download. Using the method presented here, a user could easily determine fission tracks in photomicrographs of mineral samples. (C) 2014 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 11/09438-3 - PROCESSING OF PHOTOMICROGRAPHS USING THE STARLET WAVELET TRANSFORM
Grantee:Alexandre Fioravante de Siqueira
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 10/20496-2 - Characterization of Epidote through SEM, Micro-raman Espectroscopy, Differential Scanning Calorimetry, Optical Microscopy and annealing and entropy studies through Fission Track Method
Grantee:Wagner Massayuki Nakasuga
Support Opportunities: Scholarships in Brazil - Doctorate