AUTOMATIC DETERMINATION OF THE DEFORMATION INDEX OF CAST IRON MICROSTRUCTURE GRAINS USING C++ AND OPENCV

Karimov, Sardor, Samandarov, Ilxomjon

Al-Farg'oniy avlodlari · 2025-yil

Annotatsiya

This paper presents a C++ and OpenCV-based algorithm for the automatic determination of geometric parameters (area, perimeter, aspect ratio, eccentricity, shape factor) of cast iron microstructure grains and the calculation of the deformation index (DI). The proposed method includes Otsu thresholding, morphological cleaning, contour detection, and ellipse fitting. For each grain, the DI value was determined, followed by statistical analysis (mean, median, minimum, maximum) and distribution plotting. This approach can serve as an effective tool for predicting the mechanical properties of metals and optimizing heat treatment processes.

Maqola ma’lumotlari
MualliflarKarimov, Sardor, Samandarov, Ilxomjon
JurnalAl-Farg'oniy avlodlari
Nashr sanasi2025-08-18
Son3
Betlar3-6
TilRus

Kalit so‘zlar

chugun, mikrostrukturaviy tahlil, C, OpenCV, deformatsiya indeksi, morfologiya, metallografiya, чугун, анализ микроструктуры, C, OpenCV, индекс деформации, морфология, металлография, cast iron, microstructure analysis, C, OpenCV, deformation index, morphology, metallography

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