AUTOMATED MORPHOLOGICAL ANALYSIS OF SEM IMAGES OF COPPER ALLOY MICROSTRUCTURES USING C++ AND OPENCV
Keywords:
Deformation degree, image segmentation, morphological analysis, OpenCV, particle shape, SEM images, C .Abstract
This article presents a methodology for quantitatively assessing the degree of deformation in particle shapes observed in scanning electron microscope (SEM) images. The analysis utilizes the C++ programming language and the OpenCV library. The study includes preprocessing, segmentation of particles, and extraction of morphological parameters such as eccentricity, compactness, and shape factor. The obtained results enable comparative evaluation of particle deformation levels under different processing conditions for copper alloys.
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