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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
CTU Central Library
2022-03-01
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Series: | Acta Polytechnica CTU Proceedings |
Subjects: | |
Online Access: | https://ojs.cvut.cz/ojs/index.php/APP/article/view/8104 |