Minsch, Yannik - Search Results - UAB Digital Repository of Documents

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18 p, 3.1 MB

Material Classification with a Transfer Learning based Deep Model on an imbalanced Dataset using an epochal Deming-Cycle-Methodology / Klaiber, Marco (Aalen University of Applied Sciences) ; Kaerger, Sophia (Aalen University of Applied Sciences) ; Minsch, Yannik (Aalen University of Applied Sciences)
This work demonstrates that a transfer learning-based deep learning model can perform unambiguous classification based on microscopic images of material surfaces with a high degree of accuracy. A transfer learning-enhanced deep learning model was successfully used in combination with an innovative approach for eliminating noisy data based on automatic selection using pixel sum values, which was refined over different epochs to develop and evaluate an effective model for classifying microscopy images. [...]
2022 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.1517
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 21 Núm. 1 (2022) , p. 59-77 (Regular Issue)

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