  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 paper 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.
