Deep Learning-Based In Situ Micrograph Synthesis and Augmentation for Crystallization Process Image Analysis

Deep Learning-Based In Situ Micrograph Synthesis and Augmentation for Crystallization Process Image Analysis

Deep learning-based in situ imaging and analysis for crystallization process are essential for optimizing product qualities, reducing experimental costs through real-time monitoring, and controlling the process. However, large and high-quality annotated datasets are required to train accurate models...

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Bibliographic Details
Main Authors: Muyang Li, Tuo Yao, Jian Liu, Ziyi Liu, Zhenguo Gao, Junbo Gong
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
deep learning
crystallization
in situ monitoring
image synthesis
data augmentation
data mining
Online Access:https://www.mdpi.com/2227-7390/12/22/3448
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