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Accurate Detection of Samll Particles in Digital Holography using Fully Convolutional Networks

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Abstract

A modified fully convolutional networks is proposed to detect small solid fuel particles in reconstructed holographic images. Results show a higher recognition accuracy compared with the traditional threshold-based methods.

© 2019 The Author(s)

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