Metallographic Images Used in Automated Microstructural Characterization and Grain Size Measurement in Ferritic-Pearlitic Steels and Nodular Cast Irons Using Machine Learning

This repository hosts the metallographic images used in the study "Automated Microstructural Characterization and Grain Size Measurement in Ferritic-Pearlitic Steels and Nodular Cast Irons Using Machine Learning." It contains high-resolution grayscale images of various metallographic samples prepared with controlled cutting, polishing, and etching processes. These images serve as the primary data for applying advanced image processing techniques—such as Fourier transform filtering, thresholding, and watershed segmentation—to isolate individual grains.