An Automated Microstructural Analysis of SEM Images for Multiple Domain Sets Using Improved CURE (i-CURE) Algorithm in Machine Learning

In real time materials plays a vital role in all fields. Scanning Electron Microscopic (SEM) images are used for imaging the materials and it provides microstructural information. Scientifically the material strength is analyzed only by microstructural and it helps to understand the applicability ra...

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Vydané v:	2025 5th International Conference on Intelligent Technologies (CONIT) s. 1 - 6
Hlavní autori:	Sornalakshmi, M, Sakthimohan, M, Elizabeth Rani, G, Karthigadevi, K, Tamil Selvan, S, Sanjeevi Kumar, V
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 20.06.2025
Predmet:	1D gaussian distribution Clustering algorithms CURE (Clustering Using Representatives) algorithm histogram Histograms Image analysis Machine learning Machine learning algorithms material strength microscopic images Microscopy microstructural information Microstructure particle extraction Prediction algorithms Scanning Electron Microscopic (SEM) images Scanning electron microscopy scatterplot Statistical analysis
ISBN:	9798331522322
On-line prístup:	Získať plný text
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