Interpretable image features for anomaly identification on hexagonal net knitting machines

Tetsuo Imai, Shoya Ogawa, Nobuyuki Yonaga, Kazuki Fukae, Kenichi Arai, Toru Kobayashi. Interpretable image features for anomaly identification on hexagonal net knitting machines. In 27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, Stuttgart, Germany, September 6-9, 2022. pages 1-8, IEEE, 2022. [doi]

@inproceedings{ImaiOYFAK22,
  title = {Interpretable image features for anomaly identification on hexagonal net knitting machines},
  author = {Tetsuo Imai and Shoya Ogawa and Nobuyuki Yonaga and Kazuki Fukae and Kenichi Arai and Toru Kobayashi},
  year = {2022},
  doi = {10.1109/ETFA52439.2022.9921457},
  url = {https://doi.org/10.1109/ETFA52439.2022.9921457},
  researchr = {https://researchr.org/publication/ImaiOYFAK22},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, Stuttgart, Germany, September 6-9, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-9996-5},
}