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.
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.
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.
no code implementations • 12 Feb 2016 • Alexandre Fioravante de Siqueira, Wagner Massayuki Nakasuga, Aylton Pagamisse, Carlos Alberto Tello Saenz, Aldo Eloizo Job
This method is applied in photomicrographs of epidote phenocrystals, in which accuracy higher than 89% was obtained in fission track segmentation, even for difficult images.