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eess.IV2020★ 38 cited
Machine learning shadowgraph for particle size and shape characterization
Jiaqi Li, Siyao Shao, Jiarong Hong
Conventional image processing for particle shadow image is usually time-consuming and suffers degraded image segmentation when dealing with the images consisting of complex-shaped…
eess.IV2019★ 92 cited
Machine Learning Holography for 3D Particle Field Imaging
Siyao Shao, Kevin Mallery, Santosh Kumar +1
We propose a new learning-based approach for 3D particle field imaging using holography. Our approach uses a U-net architecture incorporating residual connections, Swish activation…
eess.IV2019★ 51 cited
Regularized Inverse Holographic Volume Reconstruction for 3D Particle Tracking
Kevin Mallery, Jiarong Hong
The key limitations of digital inline holography (DIH) for particle tracking applications are poor longitudinal resolution, particle concentration limits, and case-specific process…