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

Autor(es)

de Siqueira, Alexandre Fioravante ^[1] ; Nakasuga, Wagner Massayuki ^[1] ; Pagamisse, Aylton ^[2] ; Tello Saenz, Carlos Alberto ^[1] ; Job, Aldo Eloizo ^[1]

Afiliação do(s) autor(es)

^[1] UNESP Univ Estadual Paulista, FCT, DFQB, BR-19060900 Sao Paulo - Brazil

^[2] UNESP Univ Estadual Paulista, FCT, DMC, BR-19060900 Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Computers & Geosciences; v. 69, p. 55-61, AUG 2014.
• Citações Web of Science: 3

Resumo

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)

• Processo FAPESP: 11/09438-3 - Processamento de fotomicrografias por meio da transformada wavelet starlet
• Beneficiário: Alexandre Fioravante de Siqueira
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 10/20496-2 - Caracterização de Epídotos via MEV, Espectroscopia Micro-Raman, Calorimetria Diferencial de Varredura e Microscopia Ótica e estudos de annealing e entropia através do Método dos Traços de Fissão
• Beneficiário: Wagner Massayuki Nakasuga
• Modalidade de apoio: Bolsas no Brasil - Doutorado