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Segmentation of scanning electron microscopy images from natural rubber samples with gold nanoparticles using starlet wavelets

Authors

  • Alexandre Fioravante de Siqueira,

    Corresponding author
    1. DFQB–Departamento de Física, São Paulo, Brazil
    • Correspondence to: Alexandre Fioravante de Siqueira, DFQB – Departamento de Fisica, Quimica e Biologia, FCT – Faculdade de Ciencias e Tecnologia, Univ Estadual Paulista, Rua Roberto Simonsen, 305, 19060-900 Presidente Prudente, São Paulo, Brazil. E-mail: siqueiraaf@gmail.com and Aldo Eloizo Job, DFQB- Departmento de Fisica, Quimica e Biologia, FCT-Faculdade de Ciencias e Tecnologia, Univ Estadual Paulista, Rua Roberto Simonsen, 305, 19060-900 Presidente Prudente, Sao Paulo, Brazil. E-mail: job@fct.unesp.br

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  • Flávio Camargo Cabrera,

    1. DFQB–Departamento de Física, São Paulo, Brazil
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  • Aylton Pagamisse,

    1. DMC–Departamento de Matemática e Computação, São Paulo, Brazil
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  • Aldo Eloizo Job

    Corresponding author
    1. DFQB–Departamento de Física, São Paulo, Brazil
    • Correspondence to: Alexandre Fioravante de Siqueira, DFQB – Departamento de Fisica, Quimica e Biologia, FCT – Faculdade de Ciencias e Tecnologia, Univ Estadual Paulista, Rua Roberto Simonsen, 305, 19060-900 Presidente Prudente, São Paulo, Brazil. E-mail: siqueiraaf@gmail.com and Aldo Eloizo Job, DFQB- Departmento de Fisica, Quimica e Biologia, FCT-Faculdade de Ciencias e Tecnologia, Univ Estadual Paulista, Rua Roberto Simonsen, 305, 19060-900 Presidente Prudente, Sao Paulo, Brazil. E-mail: job@fct.unesp.br

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  • REVIEW EDITOR: Dr. Chuanbin Mao

ABSTRACT

Electronic microscopy has been used for morphology evaluation of different materials structures. However, microscopy results may be affected by several factors. Image processing methods can be used to correct and improve the quality of these results. In this article, we propose an algorithm based on starlets to perform the segmentation of scanning electron microscopy images. An application is presented in order to locate gold nanoparticles in natural rubber membranes. In this application, our method showed accuracy greater than 85% for all test images. Results given by this method will be used in future studies, to computationally estimate the density distribution of gold nanoparticles in natural rubber samples and to predict reduction kinetics of gold nanoparticles at different time periods. Microsc. Res. Tech. 77:71–78, 2014. © 2013 Wiley Periodicals, Inc.

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