Estimating the concentration of gold nanoparticles incorporated on Natural Rubber membranes using Multi-Level Starlet Optimal Segmentation

no code implementations • 26 Oct 2016 • Alexandre Fioravante de Siqueira, Flávio Camargo Cabrera, Aylton Pagamisse, Aldo Eloizo Job

This study consolidates Multi-Level Starlet Segmentation (MLSS) and Multi-Level Starlet Optimal Segmentation (MLSOS), techniques for photomicrograph segmentation that use starlet wavelet detail levels to separate areas of interest in an input image.

Segmentation

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

no code implementations • 12 Jun 2016 • Alexandre Fioravante de Siqueira, Flávio Camargo Cabrera, Aylton Pagamisse, Aldo Eloizo Job

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.

Jansen-MIDAS: a multi-level photomicrograph segmentation software based on isotropic undecimated wavelets

no code implementations • 20 Apr 2016 • Alexandre Fioravante de Siqueira, Flávio Camargo Cabrera, Wagner Massayuki Nakasuga, Aylton Pagamisse, Aldo Eloizo Job

Image segmentation, the process of separating the elements within an image, is frequently used for obtaining information from photomicrographs.

Image Segmentation Segmentation +1