X-ray Scattering Image Classification Using Deep Learning
Wang, B.; Yager, K.G.; Yu, Dantong; Hoai, M. "X-ray Scattering Image Classification Using Deep Learning" Applications of Computer Vision (WACV) 2017
We apply deep learning methods (convolutional neural networks) to automatically classify x-ray scattering images.
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.