Automatic Recognition of Coal and Gangue based on Convolution Neural Network
Computer Vision and Pattern Recognition
2017-12-05 v1
Abstract
We designed a gangue sorting system,and built a convolutional neural network model based on AlexNet. Data enhancement and transfer learning are used to solve the problem which the convolution neural network has insufficient training data in the training stage. An object detection and region clipping algorithm is proposed to adjust the training image data to the optimum size. Compared with traditional neural network and SVM algorithm, this algorithm has higher recognition rate for coal and coal gangue, and provides important reference for identification and separation of coal and gangue.
Cite
@article{arxiv.1712.00720,
title = {Automatic Recognition of Coal and Gangue based on Convolution Neural Network},
author = {Huichao Hong and Lixin Zheng and Jianqing Zhu and Shuwan Pan and Kaiting Zhou},
journal= {arXiv preprint arXiv:1712.00720},
year = {2017}
}