Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Wavelets

Author(s)

De Siqueira, Alexandre Fioravante ^[1] ; Cabrera, Flavio Camargo ^[1] ; Pagamisse, Aylton ^[2] ; Job, Aldo Eloizo ^[1]

Affiliation

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

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

• Document type: Journal article
• Source: MICROSCOPY RESEARCH AND TECHNIQUE; v. 77, n. 1, p. 71-78, JAN 2014.
• Web of Science Citations: 4

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. (c) 2013 Wiley Periodicals, Inc. (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: 10/03282-9 - Natural rubber membranes covered with gold nanoparticles: synthesis and characterization
• Grantee: Flávio Camargo Cabrera
• Support Opportunities: Scholarships in Brazil - Master