De Siqueira, Alexandre Fioravante [UNESP]Cabrera, Flavio Camargo [UNESP]Pagamisse, Aylton [UNESP]Job, Aldo Eloizo [UNESP]2014-12-032014-12-032014-01-01Microscopy Research And Technique. Hoboken: Wiley-blackwell, v. 77, n. 1, p. 71-78, 2014.1059-910Xhttp://hdl.handle.net/11449/113389Electronic 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.71-78engimage processinggold nanoparticlesnatural rubberscanning electron microscopywaveletsArtigo10.1002/jemt.22314WOS:000328349100010Acesso aberto03042718462294716475585105456744