BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images

7 Sep 2018 Yucheng Fu Yang Liu

Bubble segmentation and size detection algorithms have been developed in recent years for their high efficiency and accuracy in measuring bubbly two-phase flows. In this work, we proposed an architecture called bubble generative adversarial networks (BubGAN) for the generation of realistic synthetic images which could be further used as training or benchmarking data for the development of advanced image processing algorithms... (read more)

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