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Found 4 papers, 0 papers with code
Estimating the concentration of gold nanoparticles incorporated on Natural Rubber membranes using Multi-Level Starlet Optimal Segmentation
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 of scanning electron microscopy images from natural rubber samples with gold nanoparticles using starlet wavelets
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
Image segmentation, the process of separating the elements within an image, is frequently used for obtaining information from photomicrographs.
An automatic method for segmentation of fission tracks in epidote crystal photomicrographs
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.
