
Methods for recognizing the microstructure of a material
Author(s) -
Mariya Shapovalova,
Oleksii Vodka
Publication year - 2017
Publication title -
vìsnik nacìonalʹnogo tehnìčnogo unìversitetu "hpì". novì rìšennâ v sučasnih tehnologìâh/vestnik nacionalʹnogo tehničeskogo universiteta "hpi". novye rešeniâ v sovremennyh tehnologiâh
Language(s) - English
Resource type - Journals
eISSN - 2413-4295
pISSN - 2079-5459
DOI - 10.20998/2413-4295.2017.23.09
Subject(s) - sobel operator , computer science , artificial neural network , reliability (semiconductor) , artificial intelligence , smoothing , noise (video) , task (project management) , preference , data mining , pattern recognition (psychology) , machine learning , industrial engineering , image processing , image (mathematics) , computer vision , edge detection , mathematics , engineering , statistics , power (physics) , physics , systems engineering , quantum mechanics