Microstructure reconstruction via artificial neural networks: a combination of causal and non-causal approach

We investigate the applicability of artificial neural networks (ANNs) in reconstructing a sample image of a sponge-like microstructure. We propose to reconstruct the image by predicting the phase of the current pixel based on its causal neighbourhood, and subsequently, use a non-causal ANN model to...

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Bibliographic Details
Main Authors: Kryštof Latka, Martin Doškář, Jan Zeman
Format: Article
Language:English
Published: CTU Central Library 2022-03-01
Series:Acta Polytechnica CTU Proceedings
Subjects:
Online Access:https://ojs.cvut.cz/ojs/index.php/APP/article/view/8104

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