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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Czech Technical University in Prague
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 |
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