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arXiv · 1611.03313

X-ray Scattering Image Classification Using Deep Learning

Boyu Wang·Kevin Yager·Dantong Yu·Minh Hoai
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Abstract

Visual inspection of x-ray scattering images is a powerful technique for probing the physical structure of materials at the molecular scale. In this paper, we explore the use of deep learning to develop methods for automatically analyzing x-ray scattering images. In particular, we apply Convolutional Neural Networks and Convolutional Autoencoders for x-ray scattering image classification. To acquire enough training data for deep learning, we use simulation software to generate synthetic x-ray scattering images. Experiments show that deep learning methods outperform previously published methods by 10\% on synthetic and real datasets.

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Boyu Wang, Kevin Yager, Dantong Yu, Minh Hoai. 2016-11-10. X-ray Scattering Image Classification Using Deep Learning. https://arxiv.org/abs/1611.03313

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