Inspection system for rail surfaces using differential images
Publication date:
2017Editorial:
IEEE
Publisher version:
http://dx.doi.org/10.1109/IAS.2017.8101824Descripción física:
p. 1-9Description:
IEEE Industry Applications Society Annual Meeting (2017, Cincinnati)
ISBN:
9781509048946Patrocinado por
The authors would like to thank quality inspectors and personnel of ArcelorMittal for their help in the development of this research. This work has been partially funded by the project TIN2014-56047-P of the Spanish National Plan for Research, Development and Innovation.
Id. Proyecto
TIN2014-56047-P