The role of classical image processing algorithms in the age of AI revolution
Autor
Gądek-Moszczak, Aneta
Opublikowane w
Technical Transactions
Numeracja
Vol. 121, iss. 1
Data wydania
2024
Miejsce wydania
Warsaw
Wydawca
Sciendo
Sekcja czasopisma
Architecture and Urban Planning
Język
angielski
eISSN
2353-737X
DOI
https://doi.org/10.37705/TechTrans/e2024025
Słowa kluczowe
artificial intelligence, image recognition, image processing, stereology, quality control
Abstrakt
The article is devoted to the analysis of AI methods used in materials science and, in particular, the possibility of using them in the automatic classification and detection of material structure elements in digital images. The main areas of application of AI algorithms in materials science, such as prediction of material properties, material design, and optimization of technological processes, are presented. Examples of machine learning algorithm applications for classifying structure elements are discussed. Difficulties encountered in implementing AI algorithms in analyzing images of material microstructures were analyzed.
