TY - GEN
T1 - X-Ray scattering image classification using deep learning
AU - Wang, Boyu
AU - Yager, Kevin
AU - Yu, Dantong
AU - Hoai, Minh
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/11
Y1 - 2017/5/11
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85020170711
U2 - 10.1109/WACV.2017.83
DO - 10.1109/WACV.2017.83
M3 - Conference contribution
AN - SCOPUS:85020170711
T3 - Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017
SP - 697
EP - 704
BT - Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE Winter Conference on Applications of Computer Vision, WACV 2017
Y2 - 24 March 2017 through 31 March 2017
ER -