S-metallograph-segmentation

Code for semantic segmentation models and techniques applied to metal microstructures, in collaboration with ArcelorMittal

Publications and citations

A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges. Julián Luengo, Raúl Moreno, Iván Sevillano, David Charte, Adrián Peláez-Vegas, Marta Fernández-Moreno, Pablo Mesejo and Francisco Herrera. Information Fusion 78 (232-253), 2022.

If you want to cite this Python package, please use the following citation:

@article{metalseg,
  title = {A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges},
  journal = {Information Fusion},
  volume = {78},
  pages = {232-253},
  year = {2022},
  issn = {1566-2535},
  doi = {https://doi.org/10.1016/j.inffus.2021.09.018},
  url = {https://www.sciencedirect.com/science/article/pii/S1566253521001949},
  author = {Julián Luengo and Raúl Moreno and Iván Sevillano and David Charte and Adrián Peláez-Vegas and Marta Fernández-Moreno and Pablo Mesejo and Francisco Herrera},
}